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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Find Your Shangri-La in Shangri-La</strong></span></p><br><br> <p><span>Shangri-La Dubai is a luxurious urban sanctuary where modern energy meets timeless hospitality. With panoramic views of the Burj Khalifa and Dubai’s glittering skyline, every visit becomes an unforgettable experience.</span></p><br><br> <p><span><strong>Shangri-La Dubai</strong></span></p><br><br> <br> <br> <br> <p><span><strong>About the Role</strong></span><br><span>As a <strong>Uniform Room Supervisor</strong>, you will be responsible for overseeing all colleague uniform‑related operations, ensuring timely resolution of uniform issues, and maintaining accurate inventory levels in accordance with the hotel’s established policies, procedures, and quality standards.</span></p><br><br> <br> <br> <p><span><strong>Key Responsibilities</strong></span></p><br><br> <ul> <li><span>Supervise daily uniform room operations to ensure smooth and efficient service.</span></li> <li><span>Ensure proper distribution, collection, and tracking of staff uniforms by separating the uniforms according to departments.</span></li> <li><span>Monitor workflow to ensure timely availability of clean uniforms.</span></li> <li><span>Maintain accurate inventory of uniforms and related supplies by conducting regular stock counts and audits.</span></li> <li><span>Coordinate uniform ordering, replacements, alterations, uniform fittings and size adjustments.</span></li> <li><span>Track damaged or lost items and implement control measures.</span></li> <li><span>Coordinates with HR to ensure all new colleague uniform requirements are done on time.</span></li> <li><span>Maintain standards for presentation and grooming in line with company policies by ensuring uniforms are clean, pressed, and in good condition.</span></li> <li><span>Inspect uniforms for wear and tear and arrange repairs or replacements.</span></li> <li><span>Maintain detailed records of uniform issuance, returns, and alterations.</span></li> <li><span>Prepare reports on inventory levels, losses, and operational performance.</span></li> <li><span>Manage vendor relationships (laundry, tailoring, suppliers).</span></li> <li><span>Ensure compliance with health, safety, and hygiene regulations.</span></li> <li><span>Provide courteous and efficient service to employees.</span></li> <li><span>Address and resolve uniform-related concerns promptly.</span></li> </ul> <br> <br> <p><span><strong>About You</strong></span></p><br><br> <ul> <li><span>Minimum 2–3 years of experience in housekeeping, laundry, or uniform room operations.</span></li> <li><span>Previous supervisory experience preferred.</span></li> <li><span>Strong Leadership and team management skills.</span></li> <li><span>Strong organizational and inventory management skills.</span></li> <li><span>Excellent communication skills, both written and verbal.</span></li> <li><span>Good communication and interpersonal skills.</span></li> <li><span>Proficiency in basic computer systems (inventory software, MS Office).</span></li> <li><span>Attention to detail and ability to maintain high standards.</span></li> </ul> <br> <p><span><strong>Why Join Us</strong></span></p><br><br> <ul> <li><span>A workplace that values your passion and supports self-realization and personal growth.</span></li> <li><span>Structured learning and development pathways with real opportunities to advance your professional craft and leadership skills.</span></li> <li><span>Competitive benefits, recognition programs, and colleague stay/travel perks that reward your contribution and dedication.</span></li> <li><span>Teams that promote inclusion and respect, value diversity, and foster a secure environment where everyone can thrive.</span></li> </ul> <br> <p><span>We are an equal opportunity employer. Applications from all qualified candidates are welcomed. All information provided by applicants will be treated in and used only for recruitment purposes.</span></p><br><br> <p><span>We appreciate your interest in joining us. Please note that only successful candidates will be contacted.</span></p><br><br> <br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Electrician Job Description</p><p><strong>Job Title:</strong> Electrician</p><p><strong>Job Summary:</strong><br>An Electrician installs, maintains, repairs, and tests electrical systems, equipment, and wiring in residential, commercial, or industrial settings. They ensure all work complies with safety regulations, electrical codes, and project specifications.</p><p>Key Responsibilities</p><ul><li><p>Install electrical wiring, fixtures, outlets, switches, and circuit breakers.</p></li><li><p>Inspect, troubleshoot, and repair electrical systems and equipment.</p></li><li><p>Read and interpret blueprints, technical drawings, and electrical schematics.</p></li><li><p>Test electrical systems using appropriate diagnostic tools and equipment.</p></li><li><p>Perform preventive maintenance on electrical installations.</p></li><li><p>Ensure compliance with electrical codes, safety standards, and company policies.</p></li><li><p>Replace defective components such as wiring, fuses, and circuit breakers.</p></li><li><p>Maintain accurate records of work performed and materials used.</p></li><li><p>Collaborate with contractors, engineers, and other trades on projects.</p></li><li><p>Respond to emergency electrical repairs when required.</p></li></ul><p>Required Qualifications</p><ul><li><p>High school diploma or equivalent.</p></li><li><p>Vocational training or apprenticeship in electrical work.</p></li><li><p>Valid electrician license or certification (where required).</p></li><li><p>Knowledge of electrical codes, wiring systems, and safety procedures.</p></li><li><p>Ability to read technical drawings and blueprints.</p></li><li><p>Strong troubleshooting and problem-solving skills.</p></li><li><p>Good communication and teamwork abilities.</p></li><li><p>Physical ability to lift equipment, climb ladders, and work in confined spaces.</p></li></ul><p>Preferred Skills</p><ul><li><p>Experience with residential, commercial, or industrial electrical systems.</p></li><li><p>Familiarity with power tools, testing instruments, and hand tools.</p></li><li><p>Time management and organizational skills.</p></li><li><p>Attention to detail and commitment to workplace safety.</p></li></ul><p>Working Conditions</p><ul><li><p>Work indoors and outdoors in various weather conditions.</p></li><li><p>May require standing, bending, climbing, and lifting heavy materials.</p></li><li><p>May work evenings, weekends, or be on-call for emergency repairs.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Desired Candidate Profile – Electrician</p><ul><li><p>Minimum <strong>2–5 years of proven experience</strong> as an Electrician in commercial, industrial, facilities management, or maintenance environments.</p></li><li><p>Diploma, ITI, or vocational certification in Electrical Engineering or a related trade.</p></li><li><p>Good knowledge of electrical systems, wiring, control panels, circuit breakers, and preventive maintenance.</p></li><li><p>Ability to read and interpret electrical drawings, schematics, and technical manuals.</p></li><li><p>Strong troubleshooting and fault-finding skills.</p></li><li><p>Familiar with electrical safety regulations and preventive maintenance procedures.</p></li><li><p>Experience using electrical testing instruments and power tools.</p></li><li><p>Physically fit and able to work at heights, in confined spaces, and in outdoor environments.</p></li><li><p>Good communication skills and ability to work independently or as part of a team.</p></li><li><p>Strong attention to detail, safety awareness, and problem-solving skills.</p></li><li><p>Willing to work flexible hours, including emergency call-outs when required.</p></li><li><p><strong>UAE experience is preferred.</strong></p></li><li><p><strong>Valid UAE Driving License is an advantage.</strong></p></li><li><p>Immediate joiners or candidates with a short notice period are preferred.</p></li></ul><p><strong>For your Urban Fulfilment Facilities team, you may also add these preferred requirements:</strong></p><ul><li><p>Experience maintaining <strong>warehouses, dark stores, retail outlets, or logistics facilities</strong>.</p></li><li><p>Knowledge of <strong>lighting systems, power distribution, DB panels, UPS, generators, and emergency lighting</strong>.</p></li><li><p>Basic understanding of <strong>HVAC, plumbing, and general building maintenance</strong> is an advantage.</p></li><li><p>Experience working under preventive maintenance schedules and responding to breakdown maintenance.</p></li><li><p>Ability to prepare maintenance reports and coordinate with the Facilities Manager and HSE team.</p></li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Market <br> Cities &amp; Places <br> <br> <br> <br> <br> <br> <p>At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.</p><br><br> <br> <br> <br> <br> Your impact <br> <p>Jacobs is seeking an experienced Principal Electrical Engineer – Design with a strong background in data center projects to be based in Dubai. In this role, you will play a key role in shaping the next generation of data centers across the region. &nbsp;The ideal candidate will bring deep technical expertise in electrical systems design, leadership capability, and a proven track record delivering complex, mission‑critical facilities. You will also lead electrical design packages, coordinate multidisciplinary interfaces, and ensure compliance with global and regional standards. You will work as part of a collaborative, multidisciplinary team delivering high‑performance, resilient, and sustainable data center solutions for our clients.</p><br><br><p><strong>What You’ll Do:</strong></p><br><br><ul><li>Lead the electrical design for data center projects from concept through detailed design, with regional and international teams to delivery energy efficient solutions to the Client.</li><li>Develop and review electrical systems including MV/LV distribution, UPS systems, generators, earthing, lighting, and critical power infrastructure.</li><li>Ensure compliance with local authority regulations, LEED, Uptime Institute and Jacobs’ internal governance frameworks.</li><li>Coordinate closely with mechanical, ICT, structural, fire protection, architecture, and project management teams to deliver integrated design solutions.</li><li>Lead design reviews, technical workshops, and client presentations, representing Jacobs with professionalism and technical authority.</li><li>Provide mentorship and technical guidance to junior and mid‑level engineers, fostering a culture of learning and innovation.</li><li>Support tender evaluations, technical reports, and design‑build contractor submissions.</li><li>Drive continuous improvement, digital delivery, and best‑practice adoption across the electrical discipline.</li></ul> <br> <br> <br> <br> Here's what you'll need <br> <ul><li>Bachelor’s degree in Electrical Engineering (Master’s preferred).</li><li>10+ years of electrical design experience, in data center projects in the ME region.</li><li>Strong understanding of data center electrical systems, redundancy topologies (N, N+1, 2N), and mission‑critical design principles.</li><li>Experience delivering projects in the KSA, UAE or wider GCC region.</li><li>Proficiency in ETAP, Dialux, AutoCAD, Revit, and digital design workflows.</li><li>Strong knowledge of IEC, NFPA, IEEE, and other relevant international standards.</li><li>Demonstrated leadership experience managing design packages or engineering teams.</li><li>Excellent communication, stakeholder engagement, and problem‑solving skills.</li></ul><ul><li>Experience with hyperscale or colocation data center clients.</li><li>Familiarity with BIM workflows and digital delivery platforms.</li><li>Experience working in multidisciplinary global delivery models.</li></ul> <br> <br> <br> <br> From our inclusive employee networks to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><strong>Find Your Shangri-La in Shangri-La</strong></span></p><br><br> <p><span>Shangri-La Dubai is a luxurious urban sanctuary where modern energy meets timeless hospitality. With panoramic views of the Burj Khalifa and Dubai’s glittering skyline, every visit becomes an unforgettable experience.</span></p><br><br> <p><span><strong>Shangri-La Dubai</strong></span></p><br><br> <br> <br> <br> <p><span><strong>About the Role</strong></span><br><span>As a <strong>Uniform Room Supervisor</strong>, you will be responsible for overseeing all colleague uniform‑related operations, ensuring timely resolution of uniform issues, and maintaining accurate inventory levels in accordance with the hotel’s established policies, procedures, and quality standards.</span></p><br><br> <br> <br> <p><span><strong>Key Responsibilities</strong></span></p><br><br> <ul> <li><span>Supervise daily uniform room operations to ensure smooth and efficient service.</span></li> <li><span>Ensure proper distribution, collection, and tracking of staff uniforms by separating the uniforms according to departments.</span></li> <li><span>Monitor workflow to ensure timely availability of clean uniforms.</span></li> <li><span>Maintain accurate inventory of uniforms and related supplies by conducting regular stock counts and audits.</span></li> <li><span>Coordinate uniform ordering, replacements, alterations, uniform fittings and size adjustments.</span></li> <li><span>Track damaged or lost items and implement control measures.</span></li> <li><span>Coordinates with HR to ensure all new colleague uniform requirements are done on time.</span></li> <li><span>Maintain standards for presentation and grooming in line with company policies by ensuring uniforms are clean, pressed, and in good condition.</span></li> <li><span>Inspect uniforms for wear and tear and arrange repairs or replacements.</span></li> <li><span>Maintain detailed records of uniform issuance, returns, and alterations.</span></li> <li><span>Prepare reports on inventory levels, losses, and operational performance.</span></li> <li><span>Manage vendor relationships (laundry, tailoring, suppliers).</span></li> <li><span>Ensure compliance with health, safety, and hygiene regulations.</span></li> <li><span>Provide courteous and efficient service to employees.</span></li> <li><span>Address and resolve uniform-related concerns promptly.</span></li> </ul> <br> <br> <p><span><strong>About You</strong></span></p><br><br> <ul> <li><span>Minimum 2–3 years of experience in housekeeping, laundry, or uniform room operations.</span></li> <li><span>Previous supervisory experience preferred.</span></li> <li><span>Strong Leadership and team management skills.</span></li> <li><span>Strong organizational and inventory management skills.</span></li> <li><span>Excellent communication skills, both written and verbal.</span></li> <li><span>Good communication and interpersonal skills.</span></li> <li><span>Proficiency in basic computer systems (inventory software, MS Office).</span></li> <li><span>Attention to detail and ability to maintain high standards.</span></li> </ul> <br> <p><span><strong>Why Join Us</strong></span></p><br><br> <ul> <li><span>A workplace that values your passion and supports self-realization and personal growth.</span></li> <li><span>Structured learning and development pathways with real opportunities to advance your professional craft and leadership skills.</span></li> <li><span>Competitive benefits, recognition programs, and colleague stay/travel perks that reward your contribution and dedication.</span></li> <li><span>Teams that promote inclusion and respect, value diversity, and foster a secure environment where everyone can thrive.</span></li> </ul> <br> <p><span>We are an equal opportunity employer. Applications from all qualified candidates are welcomed. All information provided by applicants will be treated in and used only for recruitment purposes.</span></p><br><br> <p><span>We appreciate your interest in joining us. Please note that only successful candidates will be contacted.</span></p><br><br> <br> <br><br> </div>

About ai71<br><br>ai71 builds enterprise-grade AI for the organisations that underpin the real economy: governments, banks, and large enterprises. We're rooted in the Middle East and Africa, where the demands on us are at their highest: sovereignty, on-prem, multi-lingual, and real regulatory weight. Those same demands are arriving everywhere, and what holds up here travels. Our work is grounded in a commitment to deploying AI securely, responsibly, and at scale.<br><br>Our flagship product is Ask, our agentic AI platform. It puts AI agents to work on an organisation's own knowledge, systems, and workflows: agents that reason through complexity, draw on the organisation's collective knowledge, and complete real work rather than just answer questions. Ask is infrastructure agnostic and model agnostic, so it runs inside a customer's existing stack and security perimeter, or in sovereign clouds, instead of forcing them onto ours. Today it's deployed across knowledge-heavy functions (legal, finance, HR, procurement) in some of the most regulated environments in the world.<br><br>Role overview<br><br>We build Ask in squads: roughly a PM, three or four engineers, and a designer, each owning a slice of the product end-to-end and shipping it. A squad is small enough that the PM stays genuinely close to the work and carries real accountability for the quality of what ships.<br><br>We're hiring product managers for three kinds of ownership, and we're open on which one fits you:<br><br>Own a squad. Take one slice of the platform and make it excellent. You'll set the direction, write the PRDs, make the calls, and answer for the outcome.<br><br>Own a new bet. Some of the most valuable things we could build don't exist yet, and won't come from the current roadmap. This is 0→1 work: find the problem worth solving, prove it's real, and build the thing.<br><br>Go forward deployed. This is the sharpest end of the product. You sit with the customer, inside the ministry or the bank, and you turn the platform into something that works for them specifically. You see what actually holds up in production long before anyone else does, and the rest of the roadmap is downstream of what you learn. If you want the shortest possible distance between a decision you make and a real operation it changes, this is it.<br><br>We're hiring the person before the squad. We'll place you where your strengths meet our gaps, and we'll be straight with you about which gap that is during the process. The shape of the org will keep moving as the product does, and you should expect that.<br><br>This is deliberately not a role for someone who wants the strategy settled first. Ask runs inside air-gapped government networks, over messy multi-lingual corpora, for procurement-driven buyers betting real operations on us. A meaningful part of the job is deciding what's true, not executing against something already decided. The hardest questions on this platform are open right now, and whoever takes this role gets a real say in how they close.<br><br>What you'll do<br><br>Build things yourself. Prototype it, query it, script it. We expect PMs here to be genuinely dangerous with an AI coding agent, whichever one you like, and to bring a working artefact to an argument rather than a deck. The fastest way to settle a product debate here is usually to build the thing and look at it.<br><br>Own the outcome, end-to-end. Discovery, PRDs, prioritisation, shipping, and the metric it moves. Nobody here will hand you a spec, and nobody will thank you for delivering the wrong thing on time.<br><br>Own evals. This is one of the hardest and most important problems on the platform. Agent quality is not obvious from a demo, and "it looked fine when I tried it" is not a quality bar for a system running a ministry's legal review. You'll define what good means for your surface, build the test sets and the judges that measure it, and wire them into how the squad ships, so we know whether an agent works before a customer finds out it doesn't.<br><br>Stay ahead of the industry, and know what to build. This field moves faster than any roadmap. Capabilities we scope one quarter can ship free in an open-source release before we finish them, model releases reset what's possible every few weeks, and standards like MCP go from novelty to expected in months. Knowing what to build, what to wrap, and what to adopt outright is one of the most consequential calls you'll make, and it's a call you'll make repeatedly. That means knowing the landscape properly: the open agent frameworks, the observability and eval tooling, what the frontier labs shipped last week and what it means for us. We'd rather integrate something excellent than spend two quarters rebuilding it, and we'd rather build something ourselves than depend on a layer where our customers' requirements are unusual. Telling those apart is the skill.<br><br>Ship into constraints most PMs never see. On-prem and air-gapped, sovereign cloud, model agnostic, multi-lingual, security-cleared environments. Every one of these is the default case here, and they shape the product from the first design decision onwards.<br><br>Work across squads, not just inside yours. We plan in cross-squad pushes framed around customer benefit, and no squad owns one alone. Your squad contributes two or three things to a push, and you make them land together with people who don't report to you.<br><br>Stay close to the people using it. Government and enterprise buyers, in the room, through long procurement cycles. Our forward-deployed team is your fastest route to the truth, so use them, and give them something back.<br><br>The team<br><br>Ask is around 60 engineers, five PMs, a PMM, and three product designers. You'll report to the Head of Product and work daily with Engineering, Design, Deployments, and Commercial. The team comes from tier-1 product companies (Deep Mind, Google, Amazon, Apple) and tier-1 strategy firms including McKinsey Quantum Black and BCG X.<br><br>How we work<br><br>Low ego, high curiosity. The best ideas win here, not the loudest voices. We approach problems with humility, ask better questions, and stay genuinely open to being wrong. That's how a small team learns fast enough to stay ahead of a field that resets every few weeks, and it's why you'll change your mind in the open here and be respected for it.<br><br>We work in the open. Decisions and discussion happen on shared channels rather than in DMs, so the whole team can learn from them, and so can the AI agents we build on top of them.<br><br>Who you are<br><br>You bring 5+ years in product with a genuinely technical background: a CS or engineering degree, or real time as a software, data, or ML engineer. You can hold your own in an architecture conversation and you're expected to. You've shipped ML or LLM-powered products and understand how they fail: hallucination, drift, latency, cost, prompt injection. You've had to make a probabilistic system trustworthy for someone who never wanted probability in the first place. You're comfortable with data: SQL, instrumentation, reading an experiment result without waiting for someone to interpret it for you. Experience with enterprise, regulated, or public-sector buyers is a plus, as is Arabic language ability, agent and RAG evaluation, or time in a forward-deployed model.<br><br>Beyond experience, here's what we look for:<br><br>Builder: You have a keen sense of ownership and can point to things that wouldn't exist without you. Founded something, or were employee number small, or took a product 0→1 to real users. We found this to be a good proxy for initiative, self-direction, and comfort when the plan is still forming. Side projects count too, particularly the ones you kept going long after the first weekend.<br><br>Technical instinct: Faced with an unfamiliar problem, your first move is to open a terminal and go find out. You use AI coding agents daily and you enjoy it. It's simply how you work.<br><br>Product judgement: You can tell the difference between what's hard and what merely looks hard, and you'd rather ship one thing that compounds than five that don't.<br><br>Spine: You can hold a position with an engineer, a customer, and an exec, and change it the moment you're shown you're wrong.<br><br>Clarity: You connect the dots others miss, and you turn an ambiguous problem into something a squad can actually build against.

<p>Position: Manager – Sales (Hong Kong DMC)</p><p><strong>Location:</strong> Dubai, UAE<br><strong>Company:</strong> Buzz Travel Marketing (Middle East)</p><p>Role Overview</p><p>We are looking for an experienced <strong>Manager – Sales</strong> to manage B2B sales and business development activities for our <strong>Hong Kong DMC (Dubai operations)</strong>. The candidate will be responsible for developing travel trade partnerships, driving sales growth, and increasing market presence in Dubai.</p><p>Key Responsibilities</p><ul><li><p>Develop and execute sales strategies to achieve revenue targets.</p></li><li><p>Manage relationships with travel agents, tour operators, corporate clients, and MICE partners.</p></li><li><p>Generate new business opportunities for FIT, group travel, and customized holiday packages.</p></li><li><p>Conduct sales meetings, travel agent visits, workshops, and promotional activities.</p></li><li><p>Work closely with the DMC team to develop market-specific travel products.</p></li><li><p>Track market trends, competitor activities, and provide sales reports.</p></li></ul><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5–8 years of experience in travel sales, DMC, destination marketing, or international holiday sales.</p></li><li><p>Strong B2B travel agent network across India.</p></li><li><p>Experience with international destinations, preferably Hong Kong.</p></li><li><p>Excellent communication, negotiation, and relationship management skills.</p></li><li><p>Experience with DMC/tour operators/travel representation companies preferred.</p></li></ul><p>Qualification</p><ul><li><p>Graduate/Post Graduate in Business Administration, Marketing, Travel & Tourism, or related field.</p></li></ul><br>

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA.<br><br>Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.<br><br>We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.<br><br>We’re not slowing down. The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>You will be working closely with product leaders and designers in teams responsible for the development of our Real Estate Agent Platform and Mortgage Broker Portal using modern, state of the art technologies in an innovative and collaborative environtment.<br><br>Tech stack: Javascript, React, Typescript, Next.js<br><br>Hands-On Engineering: Contribute to the team’s codebase and take ownership of key technical deliverables while leading by example in software development practices. Engineering Excellence: Drive best practices in software development, ensuring high standards of code quality and product architecture. Actively participate in technical challenges and lead the implementation of scalable, maintainable solutions. Stakeholder Collaboration: Work closely with Product, Design, and Data teams to ensure clear communication and alignment on product goals and deliverables.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Senior Engineering Experience: Strong technical background with a passion for building high-quality products and solving complex technical challenges. Product-Focused Mindset: Ability to work cross-functionally and collaborate with Product, Design, and Data teams to deliver impactful, client-focused products. Technical Expertise: Experience with modern development practices, CI/CD, and cloud technologies (AWS preferred). Collaborative Attitude: Excellent communication skills with the ability to foster an inclusive, engaging team environment.<br><br>Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA.<br><br>Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.<br><br>We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.<br><br>We’re not slowing down. The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>You will be working closely with product leaders and designers in teams responsible for the development of our Real Estate Agent Platform and Mortgage Broker Portal using modern, state of the art technologies in an innovative and collaborative environtment.<br><br>Tech stack: Javascript, React, Typescript, Next.js<br><br>Hands-On Engineering: Contribute to the team’s codebase and take ownership of key technical deliverables while leading by example in software development practices. Engineering Excellence: Drive best practices in software development, ensuring high standards of code quality and product architecture. Actively participate in technical challenges and lead the implementation of scalable, maintainable solutions. Stakeholder Collaboration: Work closely with Product, Design, and Data teams to ensure clear communication and alignment on product goals and deliverables.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Senior Engineering Experience: Strong technical background with a passion for building high-quality products and solving complex technical challenges. Product-Focused Mindset: Ability to work cross-functionally and collaborate with Product, Design, and Data teams to deliver impactful, client-focused products. Technical Expertise: Experience with modern development practices, CI/CD, and cloud technologies (AWS preferred). Collaborative Attitude: Excellent communication skills with the ability to foster an inclusive, engaging team environment.<br><br>Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA.<br><br>Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.<br><br>We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.<br><br>We’re not slowing down. The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>You will be working closely with product leaders and designers in teams responsible for the development of our Real Estate Agent Platform and Mortgage Broker Portal using modern, state of the art technologies in an innovative and collaborative environtment.<br><br>Tech stack: Javascript, React, Typescript, Next.js<br><br>Hands-On Engineering: Contribute to the team’s codebase and take ownership of key technical deliverables while leading by example in software development practices. Engineering Excellence: Drive best practices in software development, ensuring high standards of code quality and product architecture. Actively participate in technical challenges and lead the implementation of scalable, maintainable solutions. Stakeholder Collaboration: Work closely with Product, Design, and Data teams to ensure clear communication and alignment on product goals and deliverables.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Senior Engineering Experience: Strong technical background with a passion for building high-quality products and solving complex technical challenges. Product-Focused Mindset: Ability to work cross-functionally and collaborate with Product, Design, and Data teams to deliver impactful, client-focused products. Technical Expertise: Experience with modern development practices, CI/CD, and cloud technologies (AWS preferred). Collaborative Attitude: Excellent communication skills with the ability to foster an inclusive, engaging team environment.<br><br>Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA.<br><br>Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.<br><br>We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.<br><br>We’re not slowing down. The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>You will be working closely with product leaders and designers in teams responsible for the development of our Real Estate Agent Platform and Mortgage Broker Portal using modern, state of the art technologies in an innovative and collaborative environtment.<br><br>Tech stack: Javascript, React, Typescript, Next.js<br><br>Hands-On Engineering: Contribute to the team’s codebase and take ownership of key technical deliverables while leading by example in software development practices. Engineering Excellence: Drive best practices in software development, ensuring high standards of code quality and product architecture. Actively participate in technical challenges and lead the implementation of scalable, maintainable solutions. Stakeholder Collaboration: Work closely with Product, Design, and Data teams to ensure clear communication and alignment on product goals and deliverables.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Senior Engineering Experience: Strong technical background with a passion for building high-quality products and solving complex technical challenges. Product-Focused Mindset: Ability to work cross-functionally and collaborate with Product, Design, and Data teams to deliver impactful, client-focused products. Technical Expertise: Experience with modern development practices, CI/CD, and cloud technologies (AWS preferred). Collaborative Attitude: Excellent communication skills with the ability to foster an inclusive, engaging team environment.<br><br>Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai or Madrid, if preferred.<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Team Leader <br>Join Metropolitan Premium Properties:TOP-3 Best Workplace 2024 in the UAE. Accredited as a GREAT PLACE TO WORK in the UAE for 3 years in a row. Leading company in the UAE market with 15 years of experience. Top-selling broker with all major UAE developers.<br>Company Overview:<br>Established in 2008, The Metropolitan Group is a distinguished leader in the UAE real estate sector. Metropolitan Premium Properties, our flagship entity, is renowned as Dubai's premier real estate agency. We are accredited brokers for licensed developers in Dubai, Abu Dhabi, and Ras Al Khaimah, celebrated for our sales achievements with top developers like EMAAR, Dubai Properties, MERAAS, DAMAC, ALDAR, and others.<br>Job Overview:<br>A successful Real Estate Team Leader has proven sales capability, is experienced in motivating and managing salespeople and teams; is highly organized and has excellent level of communication (native language plus fluent and proficient in English). You should be clear on your daily / weekly / monthly routine in reviewing agent KPIs, correct use of CRM, leads management and follow-up, monitoring and improving agent execution of calls and viewings, focused on continuously closing more deals and overachieving set targets / overall sales performance.<br>Your management style will be to guide and support; you will continue to sell and achieve your own targets while at the same time motivating and leading your own sales team, you represent the Metropolitan Brand professionally and with the highest standards, building strong relationships inside and outside the company related to Off Plan or Secondary Market sales to deliver on your targets and objectives.<br>The Team Leader is driving the hiring, training and results of Off Plan Market specialized sales agents, he/she demonstrates daily the management ability, knowledge, attitudes, skills, and habits of a high-achieving manager, who can sell and teach how to sell and is committed to putting clients first and achieve expected results in the right way.<br>Requirements:<br>At least 3 years of experience in Off Plan Market real estate sales, with a proven track record of overachievement.1-2 years’ previous experience in managing and leading salespeople; preferably Real Estate Market Sales. Strong leadership skills, with experience and proven ability to motivate and inspire teams. Excellent communication and interpersonal skills. Strong analytical and problem-solving skills. Advanced knowledge of the Dubai real estate market. Fluent in English. Ability to discuss and test the knowledge of team members on their product knowledge,

Job Description:<br>Role Type<br>Full-time On-site Salaried<br>Key Responsibilities<br>Administrative Support Provide administrative support to real estate agents and management. Maintain and organize property listings, client databases, and company records. Prepare, review, and process real estate documents, contracts, and forms. Coordinate and manage the onboarding process for new hires, ensuring a smooth transition by facilitating documentation, system access, orientation, and compliance with company policies. Property Listings & CRM Management Upload and update property listings on portals such as Property Finder, Bayut, and Dubizzle. Ensure all property information, photos, and documents are accurate and up to date. Manage and update CRM systems regularly. Monitor listing expirations and renewals. Prepare and submit property portal credit usage reports to the Team Leader, ensuring accurate tracking and timely reporting of credit utilization, as and when required. Client & Agent Coordination Assist in preparing sales and leasing agreements. Follow up with clients regarding required documentation. Support agents in transaction processing and deal closures. Compliance & Documentation Maintain accurate records of transactions and client files. Ensure compliance with company policies and RERA regulations. Office Administration Coordinate company events, training sessions, and meetings. Perform other administrative duties assigned by management.<br>Requirements<br>Minimum 1-2 years of experience in a similar role in the Real Estate sector in Dubai Bachelor's degree or equivalent experience Strong interpersonal, customer service and communication skills Minimum 1.5-2 years of experience related to listing and managing properties on real estate property portals Proficient in Microsoft Office suite, G-suite Ability to multitask Highly disciplined Comfortable to commute to the office location<br>Monday to Friday Alternate Saturdays Timing: 9:30 AM to 7:00 PM<br>Office location<br>Location: H&S Real Estate Office Address: Grey Square, Showroom 2, Umm Suqeim Road, Al Barsha 2 - Dubai - United Arab Emirates

Solutions Architect - Microsoft Copilot & AI Agents???? Dubai, UAE (Relocation Available) | Microsoft 365 | Azure | Copilot | AI<br>We're partnering with a forward-thinking technology organisation that’s heavily investing in Microsoft’s AI and modern workplace ecosystem. They are currently hiring a Solutions Architect to join their cloud and digital transformation team, focusing on designing and delivering next-generation Microsoft 365 and AI-powered solutions.<br>What You'll DoDesign end-to-end Microsoft 365 architecture across enterprise environments. Lead the implementation and optimisation of Microsoft 365 Copilot and Copilot Studio. Architect and deploy AI Agents that automate business processes across functions such as IT, finance and customer support. Build secure, scalable solutions across Microsoft 365, Azure and the Power Platform. Integrate AI-driven workflows into existing enterprise systems and processes. Run technical workshops, discovery sessions and proof-of-concept engagements with stakeholders. Ensure all solutions meet security, compliance and governance standards. Stay ahead of Microsoft’s AI roadmap and introduce emerging capabilities into client solutions.<br>Who We’re Looking For8+ years’ experience in Microsoft cloud architecture or solution design roles. Strong hands-on experience across Microsoft 365, Azure and the Power Platform. Proven delivery experience with Microsoft 365 Copilot and Copilot Studio. Experience designing or implementing AI Agents in enterprise environments. Strong understanding of Microsoft Entra ID (Azure AD), Power Shell and hybrid cloud setups. Familiarity with AI orchestration tools such as Semantic Kernel or Azure AI Agent Service. Good understanding of Generative AI, LLMs and prompt engineering. Strong stakeholder management and communication skills, able to engage both technical and business audiences. Microsoft certifications (e.g. Azure Solutions Architect Expert, M365 Enterprise Administrator Expert) are highly desirable.<br>What Is In It For You? Relocation support to Dubai available for the right candidate. Work on cutting-edge Microsoft Copilot and enterprise AI transformation programmes. Be part of major digital transformation initiatives across large organisations. Collaborative environment with experienced cloud and AI specialists.<br>Apply today!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Driven Properties is a renowned real estate brokerage known for its commitment to excellence and quality service in the property market.<br> As we expand our operations in Abu Dhabi, we are seeking passionate and dedicated Property Consultants to join our growing team.<br> This role offers an exciting opportunity to work in a vibrant market and help clients with their property needs in the capital of the UAE.<br> As a Property Consultant in Abu Dhabi, you will be responsible for assisting clients in buying, selling, leasing, and investing in residential and commercial properties.<br> You will utilize your knowledge of the local market to provide expert guidance, conduct property viewings, negotiate contracts, and build long-lasting relationships with clients.<br> Up to 70% commission payable, uncapped.<br> Monthly, quarterly, and yearly rewards for top performers.<br> Employment visa and medical health insurance provided.<br> Industry-leading marketing support, including photography, videography, and a digital team.<br> Unlimited marketing budget for property listings (all paid for by the company).<br> Comprehensive training and ongoing support from senior management, including RERA training (license paid by the agent).<br> Purpose-built CRM, constantly evolving to meet the needs of our agents.<br> Access to an exclusive portfolio of high-end projects.<br> Clear career progression opportunities, including the chance to become a Forbes Global Properties Agent .<br> Minimum of 2 years of experience in real estate, preferably within the Abu Dhabi market.<br> Strong interpersonal and communication skills to effectively engage with clients.<br> Proven negotiation skills with a focus on client satisfaction.<br> Comprehensive understanding of the Abu Dhabi real estate market and industry dynamics.<br> Proficient in using digital tools, CRM systems, and social media for marketing.<br> A real estate license or relevant certifications are a plus.<br> Fluency in English is required; proficiency in Arabic or other languages is advantageous.<br> A valid UAE driver's license is preferred.<br></span> </div>

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

Job Title: AI/ML Architect Location: Mumbai (with potential travel to multiple global office locations including the USA, UAE, Saudi Arabia, and Singapore) Experience Level: 10- 12 years (6–8 years in engineering/data science roles and at least 2-3+ years in a dedicated AI/ML architecture role)<br>About the Role We are seeking a highly experienced Enterprise Data and AI Architect to design, implement, and scale enterprise-grade AI solutions across industries such as BFSI, Retail, Manufacturing, and Healthcare. This is a strategic, hands-on leadership role designed to transform legacy data silos into modern Data Mesh or Data Lakehouse architectures. The ideal candidate will bridge the gap between "Proof of Concept" (PoC) and full-scale enterprise production by deploying cutting-edge Machine Learning, Generative AI, and Agentic AI systems. You will collaborate closely with product teams, pre-sales, and executive stakeholders to translate complex business problems into secure, scalable, and autonomous AI solutions.<br>Key Responsibilities AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture to align with business, data, and technology strategies. Ability to translate complex business challenges into scalable AI-driven technical architectures Design end-to-end AI and ML architectures spanning data ingestion, pre-processing, model training, deployment, and monitoring. Architect scalable, secure, and compliant AI deployment models (Cloud and Hybrid) and intelligent automation solutions. Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation. Evaluate and select the appropriate AI technologies, frameworks, cloud services, LLM orchestration frameworks, vector databases, and tooling.<br>Generative AI, LLM & Agentic AI Implementation Architect and build Gen AI solutions and LLM-powered applications using RAG, fine-tuning, and prompt engineering. Design and implement Agentic AI systems capable of autonomous decision-making, multi-step task execution, and function-calling in production. Establish custom orchestration frameworks for multi-agent collaboration, memory management, planning, evaluation harnesses, and tool invocation. Work across major AI foundries and APIs, including Azure Open AI, AWS Bedrock, Google Vertex AI, Anthropic Claude SDK, and Open AI APIs. Design RAG pipelines using vector databases and meticulously tune embeddings to ensure high retrieval quality. Optimize prompts, implement response validation mechanisms, and systematically reduce hallucination risks. Writing clean and maintainable code, Agile methodologies, Git version control, and testing methodologies<br>Machine Learning Model Development Design, develop, deploy, and optimize advanced ML algorithms, leveraging techniques in supervised/unsupervised learning, deep learning, reinforcement learning, NLP, and computer vision. Select appropriate mathematical and statistical modeling techniques, handling comprehensive data preparation, wrangling, feature engineering, and dimensionality reduction. Train and deploy ML models utilizing distributed computing frameworks and tools like PyTorch, Tensor Flow, MLflow, Sage Maker, Azure ML, or Kubeflow.<br>Data Engineering, Cloud Governance & Integration Overhaul legacy data silos into modern Data Lakehouse or Data Mesh architectures to support predictive analytics and real-time business intelligence. Partner with data architects to define robust data pipelines, data governance, feature stores, and complex ETL/ELT processes. Design secure and performant integration patterns to connect AI agents and models dynamically with ERP, CRM, workflow engines, APIs, and microservices.<br>MLOps, LLMOps & Production Operations Define and implement comprehensive MLOps/LLMOps standards, including CI/CD pipelines, model versioning, lifecycle observability, and rollback processes. Establish rigorous monitoring frameworks spanning model drift detection, performance tracking, telemetry, and establishing KPIs for production AI systems. Monitor autonomous agent performance, define evaluation metrics (task success rate, reasoning validation, error handling), and track decision audit trails. Drive continuous improvement of model performance, computational efficiency, and operational cost.<br>AI Governance, Security & Ethics Establish enterprise AI governance standards, ensuring compliance with data privacy policies (PII handling), role-based access, and IT security protocols (e.g., AWS IAM, Guard Duty). Implement "Responsible AI" guardrails tailored for regulated industries, including fairness checks, bias detection, and safety filters. Design human-in-the-loop mechanisms for agent oversight, define autonomy thresholds, and establish escalation protocols. Ensure complete traceability, automation audit trails, and explainability in AI-driven decisions.<br>Technical Leadership, Collaboration & Research Partner with business, product, engineering, and compliance teams to translate complex business problems into viable AI/ML approaches. Create and deliver high-level technical presentations to executive stakeholders using data visualization tools to communicate complex strategies and business impact. Provide technical guidance, architectural oversight, and mentorship to junior engineers.<br>Required Skills & Qualifications<br>Technical Core & Programming:Mandatory: Strong programming proficiency in Python & Libraries such as Pandas, Num Py, and Scikit-learn Solid mathematical & Statistical foundation covering linear algebra, calculus, probability theory, and statistics. Database: SQL for relational databases and NoSQL for unstructured data handling Developing scalable microservices via RESTful APIs, Fast API, g RPC Server Machine Learning & Deep Learning:Proficiency with ML frameworks such as Tensor Flow, PyTorch, and Scikit-learn. Hands-on experience implementing algorithms like decision trees, random forests, SVMs, and neural networks. Expertise in deep learning architectures (CNN, RNN, GAN). Expertise in Natural Language Processing (NLP) and recommendation systems Hands-on experience with Multimodal NLP implementation, such as Computer Vision (Open CV) and Speech-to-Text Generative AI, LLMs & Agentic Orchestration (Must Have):Extensive experience interacting/integration with Foundation LLM Models ( such as GPT, Claude, Gemini, LLaMA, Mistral, and Deep Seek) Proven ability in Model Fine-Tuning & Customization Experience with LLM frameworks like Lang Chain and Llama Index. Proven expertise in designing multi-agent orchestration using Lang Graph, Crew AI, Auto Gen, or equivalent tools. Hands-on experience with AI foundries and Copilots: Open AI, Azure AI Foundry, MSFT Copilot Studio Agent Builder, AWS Bedrock, Vertex AI, Anthropic Claude, and low-code/no-code platforms Data Platforms, Vector Databases & Infrastructure:Mandatory Skills: Data Warehousing. Deep expertise in the AWS Ecosystem (S3, Sage Maker, Redshift, Glue, Bedrock, EKS) alongside Azure or GCP exposure. Experience with large-scale data processing tools like Snowflake, Databricks, or Apache Spark. Implementation of RAG using Vector Databases (Pinecone, FAISS, Chroma, Azure AI Search, etc). Moderate-level background in Infrastructure as Code (IaC) via Terraform or AWS Cloud Formation. Proficiency in architectural patterns (microservices, event-driven, API-first design) and Database knowledge (SQL/NoSQL) MLOps & Observability Tools:Experience across the ML/LLM lifecycle using MLflow, Kubernetes, and evaluation/observability tooling. Proficiency in data visualization tools to analyze and present model insights<br>Experience & Educational Requirements Education:Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related technical field.<br>Minimum Experience Requirements:10–12 years of overall professional experience. Minimum 4 years of experience in application development, engineering, or solution delivery roles. Minimum 2+ years dedicated to AI architecture roles. Minimum 3 years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. Minimum 2 years designing and implementing scaled Agentic AI and Generative AI solutions/platforms in active operations.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><u>AI Engineer</u></strong> <p>We are seeking an experienced <strong>AI Engineer</strong> to design, develop, and deploy next-generation AI solutions that leverage Large Language Models (LLMs), agentic AI frameworks, and cloud-native technologies. This role will focus on building intelligent AI agents, integrating enterprise systems, and delivering scalable, secure, and production-ready AI applications.</p><br><br> <p>The successful candidate will combine strong software engineering expertise with practical experience in LLMs, AI orchestration, and cloud technologies to create innovative solutions that drive business value.&nbsp;</p><br><br> <strong><u>Key Responsibilities</u></strong> <ul> <li>Design, develop, and maintain AI-powered applications and agentic workflows. </li><li>Build and optimize AI agents, including orchestration, planning, routing, and multi-agent collaboration capabilities. </li><li>Develop integrations with enterprise applications, APIs, tools, and external systems. </li><li>Implement memory management, contextual reasoning, and state management capabilities within AI solutions. </li><li>Design and enforce AI safety mechanisms, guardrails, content moderation, and responsible AI practices. </li><li>Build evaluation frameworks and automated testing processes to measure AI performance, reliability, and accuracy. </li><li>Develop scalable backend services and microservices using Python and modern API frameworks. </li><li>Deploy and manage AI services using containerized and cloud-native architectures. </li><li>Optimize the performance, latency, scalability, and cost efficiency of AI workloads. </li><li>Collaborate closely with product, engineering, architecture, and business stakeholders to deliver end-to-end AI solutions. </li><li>Produce high-quality technical documentation and participate in code reviews and engineering best practices.&nbsp; </li></ul> <strong><u>Required Skills &amp; Experience</u></strong> <ul> <li>5–8 years of experience in software engineering, AI engineering, or related technical roles. </li><li>Strong proficiency in Python and/or TypeScript. </li><li>Hands-on experience working with Large Language Models (LLMs), generative AI solutions, and AI agent frameworks. </li><li>Experience building and deploying REST APIs and microservices using frameworks such as FastAPI. </li><li>Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering. </li><li>Experience with Docker, cloud platforms, CI/CD pipelines, and modern software delivery practices. </li><li>Knowledge of cloud architecture, preferably Microsoft Azure. </li><li>Understanding of AI security, authentication, data governance, and responsible AI principles. </li><li>Experience optimizing production AI applications for scale, performance, and operational efficiency.&nbsp; </li></ul> <strong><u>Preferred Qualifications</u></strong> <ul> <li>Experience with enterprise AI platforms and agentic AI ecosystems. </li><li>Familiarity with model evaluation frameworks and AI quality assurance methodologies. </li><li>Experience developing AI applications in regulated or enterprise environments. </li><li>Exposure to multi-agent systems and advanced orchestration patterns. </li><li>Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.&nbsp; </li></ul> <strong><u>Key Competencies</u></strong> <ul> <li>Strong analytical and problem-solving capabilities. </li><li>Ownership mindset with a focus on quality and delivery. </li><li>Excellent collaboration and communication skills. </li><li>Ability to work effectively in cross-functional teams. </li><li>Passion for continuous learning and keeping pace with emerging AI technologies </li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>• Strong product leadership experience; fintech/payments or B2B platforms strongly preferred.</p><p>• Strong discovery, PRD writing, prioritization, stakeholder management.</p><p>• Solid understanding of unit economics, funnel metrics, experimentation.</p><p>• Experience working with engineering, compliance, and operations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Role Purpose</p><p>Own product strategy and delivery execution to drive adoption, retention, and monetization across fintech and B2B platforms, ensuring the roadmap is tied to measurable business outcomes.</p><p>Key Responsibilities</p><p>Product Strategy &amp; Roadmap</p><p>• Define product vision and roadmap aligned to growth, retention, monetization goals.</p><p>• Maintain a prioritized backlog based on customer value, risk, and ROI.</p><p>• Translate strategy into quarterly OKRs and release plans.</p><p>Customer &amp; Market Discovery</p><p>• Run structured discovery: interviews, merchant/agent field visits, competitor benchmarking.</p><p>• Convert insights into PRDs, prototypes, and experiments (A/B testing where possible).</p><p>Delivery Management (with Engineering)</p><p>• Drive end-to-end execution: requirements → design → build → QA → launch → iteration.</p><p>• Ensure acceptance criteria, release notes, rollout plans, and training materials.</p><p>• Own product quality: usability, performance, stability, incident learnings.</p><p>Analytics &amp; Growth</p><p>• Establish measurement framework:</p><p>o Fintech: activation funnel, txn frequency, retained users, agent productivity, conversion.</p><p>o B2B: onboarding-to-first-order time, reorder rate, basket size, cancellations, SKU coverage.</p><p>• Partner with commercial teams on GTM, onboarding playbooks, promotions.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.</i></p><br><br><br><p><span>Job Category</span></p><br><br>Sales<br><p><span>Job Details</span></p><br><br><br><p><span><b><b>About Salesforce</b></b></span></p><br><br><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.</p><br><br><br><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.</p><br><br><br><br><br><p><b>About Salesforce</b></p><br><br><p>We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. We empower you to be a Trailblazer too — driving your performance and career growth, charting new paths, and improving the state of the world.</p><br><br><br>The Role<p>The Distinguished/Principal Technical Architect is a pre-sales, customer-facing enterprise domain expert combining deep architecture credibility with a strong, forward-weighted command of Data &amp; AI — grounded in CRM and customer experience as the core discipline they extend. You'll be the trusted technical authority for our most strategic Middle East customers as they navigate cloud adoption, CRM-led transformation, and AI-driven customer engagement via Agentforce and Data Cloud.<br>This is not a legacy TA role. AI and data are the dominant focus going forward: agent architecture, data foundations, and how the two combine — on top of a CRM backbone — to reshape how customers engage their own customers. You'll still carry the full weight of classic TA responsibilities — trust with CIO/CTO/security stakeholders, architecture workshops, RFP support — but your differentiation and growth path center on AI/Data depth.</p><br><br><br>Your Impact — Responsibilities<ul><li><p>Become the trusted technical advisor to CIO/CTO/Chief Data Officer/Architect-level stakeholders as they design their CRM, customer experience, and AI/data strategy on Salesforce.</p><br><br></li><li><p>Lead architecture and technical discovery around Agentforce and Data Cloud in the context of the customer's CRM and customer experience landscape — agent design, orchestration, data models, governance, and integration into existing enterprise systems.</p><br><br></li><li><p>Present Salesforce's platform capabilities — CRM and customer experience architecture, hosting, security, integration, and AI/agent infrastructure — with credibility at an executive technical level.</p><br><br></li><li><p>Resolve which Salesforce and third-party technologies fit a customer's architecture, grounded in product knowledge, industry frameworks, and Salesforce Architecture methodologies.</p><br><br></li><li><p>Conduct architecture workshops, enablement sessions, and technical due diligence — increasingly centered on AI/data maturity assessments and agent deployment roadmaps, always tied back to customer experience outcomes.</p><br><br></li><li><p>Own Deal Support Requests (DSRs) end-to-end and support the sales team in RFPs and technical requirements documents.</p><br><br></li><li><p>Share field intelligence — architecture trends, AI/data customer challenges, and competitive signals from the region — to sharpen the wider team's approach.</p><br><br></li><li><p>Mentor and guide Solution Engineers and junior architects on CRM, customer experience, and AI/data architecture concepts.</p><br><br></li><li><p>Contribute to internal IP: reference architectures, best practices, and educational content for AI/data and CRM engagements.</p><br><br></li><li><p>Attain quarterly and annual objectives assigned by management.</p><br><br></li></ul>Minimum Qualifications<ul><li><p>13+ years in software, systems, or enterprise architecture, with a demonstrated shift toward Data &amp; AI over recent engagements — CRM/customer experience background a strong plus, regardless of platform.</p><br><br></li><li><p>Bachelor's degree in Computer Science or equivalent.</p><br><br></li><li><p>Strong understanding of cloud architecture principles (SaaS, PaaS, multi-tenancy, multi-tiered infrastructure).</p><br><br></li><li><p>Deep understanding of AI/ML concepts and agent platforms — how to configure and deploy agents, connect them to automation/flows/APIs.</p><br><br></li><li><p>Working understanding of data architecture and governance fundamentals.</p><br><br></li><li><p>Technical selling skills — able to translate CRM, Data, and AI architecture into business value for non-technical executives.</p><br><br></li><li><p>Proven ability to earn trust with C-level stakeholders.</p><br><br></li></ul>Preferred Qualifications<ul><li><p>Arabic fluency strongly preferred (native or near-native) — English fluency is non-negotiable, no exceptions.</p><br><br></li><li><p>Strong experience with any major CRM/AI ecosystem (Salesforce, Microsoft, Oracle, or similar) — deep Salesforce-specific knowledge is a plus, not a requirement, for the right architecture-caliber candidate.</p><br><br></li><li><p>Familiarity with major GenAI vendors (Anthropic, OpenAI, AWS, Google, Microsoft ... etc) and how agent platforms integrate with enterprise data.</p><br><br></li><li><p>Understanding of data security, compliance, and privacy regulations relevant to the region.</p><br><br></li></ul><br><br><br><br><p><span>Unleash Your Potential</span></p><br><br><p><span>When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and</span><i>be your best</i><span>, and our AI agents accelerate your impact so you can</span><i>do your best</i><span>. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.</span></p><br><br><br><p><span>Accommodations</span></p><br><br><p><span>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this </span><span><u><span>Accommodations Request Form</span></u></span><span>.</span></p><br><br><br><p><span>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our </span><span><u><span>Candidate Privacy Statement</span></u></span><span> for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.</span></p><br><br><br><br><p><span>Posting Statement</span></p><br><br><p><span><span>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. </span></span>Know your rights: workplace discrimination is illegal.<span><span> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</span></span></p><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> </div>