CodeIgniter Jobs in UAE
13223 Jobs Found
Head of Technology – Operations, Integration, Automation & Customer Experience | Dubai, UAE<br>I'm currently partnering with a well-established regional technology and retail organisation to appoint a Head of Technology who can bridge engineering excellence with operational execution. This is a senior leadership opportunity for someone who enjoys solving complex operational challenges through technology rather than simply managing software development. Key Areas of Responsibility:Lead technology strategy across operational platforms and customer-facing systems. Drive ERP, OMS, WMS, CRM and enterprise integrations. Improve last-mile operations, automation and operational efficiency. Deliver scalable architecture and modern engineering practices. Partner closely with Operations, Customer Experience, Finance and Commercial leadership. Build and lead high-performing engineering teams. Manage technology vendors and third-party integrations.<br>We are keen to speak with technology leaders from industries such as:E-commerce Last-Mile Delivery Logistics Q-Commerce Retail Marketplace Platforms Supply Chain Technology<br>Ideal Background:Head of Engineering / Head of Technology / Engineering Director / Senior Engineering Manager. Experience building scalable enterprise platforms. Strong systems integration and architecture experience. ERP and operational systems exposure. Customer Experience and Automation. Cloud, APIs, Microservices and modern engineering practices. Experience supporting high-volume operational businesses.<br>???? Location: Dubai, UAE<br>#Technology #Engineering Leadership #Head OfTechnology #Engineering Manager #Digital Transformation #Logistics #Last Mile #Ecommerce #Retail Tech #Cloud #Architecture #Microservices #Dubai Jobs #Executive Search#Hiring
Experience:10 - 14 Years in Design and Engineering in the Oil & Gas Field We’re looking for an experienced Lead / Senior Technical Safety Engineer to join our team.<br>NOTE: Construction & Site experience candidate do not apply this position is only for Detailed Design Engineer.<br>????Key Responsibilities:Prepare Engineering Design Philosophies Prepare Scope of Work for all HSEIA Studies Participate in HAZOP, HAZID, SIL studies, and other safety workshops. Provide technical advice and solutions for a range of safety-related challenges. Prepare Loss Prevention, Fire Protection, and Fire & Gas Detection Philosophies. Perform Physical Hazard Effects (PHE) modeling using PHAST or similar tools. Conduct Emergency Escape, Evacuation, and Rescue Studies. Design Fire Protection systems, including Fire Water P&IDs and hydraulic modeling using PIPENET. Develop Fire and Gas Detection layouts, Safety Equipment layouts, and Safety Signage. Evaluate tender bids and assess procured fire and safety equipment. Coordinate with multidisciplinary teams during all stages of project development. Review and produce specifications, data sheets, study reports, and design calculations. Participate in client and vendor meetings, internal audits, and maintain industry knowledge.<br>????Requirements:Thorough knowledge of Technical Safety engineering methodologies, software, and international codes and standards.<br>Interested candidates, please send your resume to:????g.kaur@total-vision.com????a.katoch@total-vision.com
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading Abu Dhabi-based holding group is hiring an <strong>AI Data UX Engineer</strong> to design and build the user experience layer for AI assistants, BI surfaces, and data apps across desktop, mobile, and Teams. If you can both design <em>and</em> ship production frontends — and you care about making complex data genuinely usable — we want to hear from you. Reports to the AI Solutions Manager.</p><br><p><strong>What you'll own:</strong></p><ul><li><p>Translate business workflows into wireframes, prototypes, and tested UI patterns in Figma and Fluent UI.</p></li><li><p>Implement production-grade frontends using React, TypeScript, Power Apps, and Power Pages, integrated with AI and REST APIs.</p></li><li><p>Design Power BI experiences — reports, semantic models, and themes — optimized for decisions and performance.</p></li><li><p>Instrument telemetry, A/B tests, and in-app guidance; iterate based on usage analytics.</p></li><li><p>Ensure accessibility (WCAG 2.1 AA), localization, and secure-by-design patterns (MSAL, role-based UI).</p></li><li><p>Collaborate with the delivery partner's squads and internal engineers to align UX with platform constraints and non-functionals — making data availability a first-class design and delivery outcome.</p></li><li><p>Enable in-app data querying, guided data correction flows, and user feedback loops to improve data discoverability and quality.</p></li><li><p>Partner with Data Ops and platform teams for backend implementation of data write-back patterns; ensure UX patterns respect RBAC, logging, and governance controls.</p></li><li><p>Integrate robust CRUD operations and database interactions so users can efficiently access, manage, and update information.</p></li><li><p>Design governed user experiences for data interaction — search, view, update requests, approvals — aligned to access controls, auditability, and workflow patterns, without owning core database engineering.</p></li><li><p>Design explainability and trust UX: citations, confidence cues, audit trails, and "why this answer" patterns for assistants and analytics surfaces to improve adoption and responsible use.</p></li><li><p>Work closely with the delivery partner's visualization and UX engineers on a shared "definition of done" for dashboards, assistant UX surfaces, and adoption telemetry.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>4–6 years in product or UX engineering for data/AI products.</p></li><li><p>A portfolio demonstrating shipped enterprise experiences across web, mobile, Teams, or Power Platform.</p></li><li><p>Bachelor's in Design, Computer Science, Information Systems, or equivalent portfolio-based experience.</p></li></ul><br><p><strong>Core skills and tools</strong></p><ul><li><p>Figma, Fluent UI, React/TypeScript, HTML/CSS.</p></li><li><p>Power Apps and Power Pages; MSAL and Microsoft Graph integration.</p></li><li><p>Power BI: DAX, modeling, performance tuning, governance with Fabric/Purview.</p></li><li><p>UX research, usability testing, accessibility, localization, and content design.</p></li><li><p>Telemetry (App Insights), feature flags, and experimentation.</p></li></ul><br><p><strong>Preferred certifications</strong></p><ul><li><p>Microsoft Certified: Power Platform App Maker (PL-100) or Developer (PL-400).</p></li><li><p>Microsoft Certified: Power BI Data Analyst Associate (PL-300).</p></li><li><p>Any recognized UX/HCI certification.</p></li></ul><br><p>Location: Abu Dhabi, UAE</p><p>Employment Type: Full-time</p><p>Experience: 4-6 years</p><p>Salary Range: 12,000 - 18,000 (AED per month)</p><p>Work Location: In person</p><p>Apply via Faze 3 Consulting Website (see profile for link)</p><p></p></section>
Role Description The Product Manager is responsible for defining product vision, strategy, and roadmap while leading the development and continuous improvement of products that deliver value to customers and support organizational objectives. This role collaborates with cross-functional teams to translate market opportunities, customer needs, and business goals into successful products throughout the entire product lifecycle. Key responsibilities include conducting market research, competitor analysis, customer interviews, and data analysis to identify user needs, market trends, and opportunities for innovation. The role defines product strategy, develops product roadmaps, prioritizes features, and creates detailed product requirements, user stories, and acceptance criteria to guide product development. The position works closely with engineering, UX/UI design, quality assurance, marketing, sales, customer success, and executive stakeholders to ensure product initiatives are aligned with business objectives and delivered on schedule. It manages the product backlog, facilitates Agile ceremonies, supports sprint planning, and ensures effective communication across cross-functional teams throughout the development lifecycle. The role monitors product performance using key performance indicators (KPIs) such as customer satisfaction, user engagement, adoption, retention, conversion, revenue, and operational metrics. It analyzes customer feedback, product analytics, and business data to identify opportunities for product optimization, feature enhancements, and continuous improvement. The position also supports product launches, go-to-market strategies, pricing discussions, stakeholder presentations, risk assessments, and change management initiatives. It continuously evaluates emerging technologies, industry trends, customer behavior, and competitive landscapes to drive product innovation and maintain market competitiveness. Qualifications Strong understanding of product management, product lifecycle management, Agile methodologies, business analysis, user-centered design, market research, and strategic planning. Ability to define product vision and translate business objectives into successful product outcomes. Proficiency in product management tools, project management platforms, collaboration software, analytics platforms, roadmap planning tools, spreadsheet applications, and reporting systems. Familiarity with customer relationship management (CRM) systems, business intelligence tools, A/B testing platforms, and product analytics tools is an advantage. Knowledge of product discovery, backlog management, requirements gathering, user story development, customer journey mapping, product analytics, go-to-market strategies, pricing concepts, and performance measurement frameworks. Strong analytical and problem-solving skills with the ability to evaluate market opportunities, interpret customer and business data, prioritize competing initiatives, manage product risks, and make informed strategic decisions. Excellent leadership, communication, presentation, negotiation, and stakeholder management skills with the ability to collaborate effectively with technical and non-technical teams, facilitate decision-making, communicate product strategies clearly, and influence cross-functional outcomes. Strong organizational skills, adaptability, creativity, attention to detail, and the ability to manage multiple product initiatives while delivering innovative, customer-focused, and high-quality products in a fast-paced and collaborative environment.
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
???? WE'RE HIRING???? IT SPECIALIST???? DUBAI, UAE???? FULL-TIME???? LEVEL: MID-SENIOR✨ ENABLE TECHNOLOGY. SOLVE CHALLENGES. SUPPORT DIGITAL EXCELLENCE. We are looking for an experienced IT Specialist to join our growing team in Dubai. The ideal candidate will have strong technical knowledge, problem-solving abilities, and the ability to manage IT infrastructure, systems, and user support while ensuring reliable and secure technology operations.???? KEY RESPONSIBILITIES???? Manage and maintain IT infrastructure, systems, networks, and hardware.???? Provide technical support and troubleshoot hardware, software, and system issues.???? Install, configure, and maintain operating systems, applications, and IT equipment.???? Monitor system performance, security, and availability to ensure smooth operations.???? Manage user accounts, access controls, and IT security policies.???? Support IT projects, system upgrades, and technology improvements.???? Maintain documentation of IT processes, configurations, and troubleshooting procedures.???? Collaborate with internal teams and external vendors to resolve technical issues.✅ REQUIREMENTS???? Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, or a related field (preferred).???? Strong IT Infrastructure & Technical Support Experience Required.???? Proven experience in network administration, system management, and IT troubleshooting.???? Strong knowledge of Windows/Linux systems, hardware, software, and cybersecurity practices.???? Excellent analytical, problem-solving, and organizational skills.???? Strong communication, teamwork, and customer service abilities.???? Ability to work effectively in a multicultural environment.???? Valid UAE Employment Visa / Work Authorization Required.⚠️ Candidates must have legal eligibility to work in the UAE. Visit Visa and Tourist Visa holders are not eligible for employment.???? WHY JOIN US????? Competitive Salary???? Training & Professional Development???? International Team???? Innovative Technology Environment???? Career Growth Opportunities???? Performance Bonus???? Professional Work Environment???? INTERESTED? APPLY NOWIf you are interested in this opportunity, please send us a message and let us know. We will provide more details about the role and the next steps.???? Send your CV / Resume and join our team in Dubai, UAE.
???? WE'RE HIRING???? IT SPECIALIST???? DUBAI, UAE???? FULL-TIME???? LEVEL: MID-SENIOR✨ ENABLE TECHNOLOGY. SOLVE CHALLENGES. SUPPORT DIGITAL EXCELLENCE. We are looking for an experienced IT Specialist to join our growing team in Dubai. The ideal candidate will have strong technical knowledge, problem-solving abilities, and the ability to manage IT infrastructure, systems, and user support while ensuring reliable and secure technology operations.???? KEY RESPONSIBILITIES???? Manage and maintain IT infrastructure, systems, networks, and hardware.???? Provide technical support and troubleshoot hardware, software, and system issues.???? Install, configure, and maintain operating systems, applications, and IT equipment.???? Monitor system performance, security, and availability to ensure smooth operations.???? Manage user accounts, access controls, and IT security policies.???? Support IT projects, system upgrades, and technology improvements.???? Maintain documentation of IT processes, configurations, and troubleshooting procedures.???? Collaborate with internal teams and external vendors to resolve technical issues.✅ REQUIREMENTS???? Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, or a related field (preferred).???? Strong IT Infrastructure & Technical Support Experience Required.???? Proven experience in network administration, system management, and IT troubleshooting.???? Strong knowledge of Windows/Linux systems, hardware, software, and cybersecurity practices.???? Excellent analytical, problem-solving, and organizational skills.???? Strong communication, teamwork, and customer service abilities.???? Ability to work effectively in a multicultural environment.???? Valid UAE Employment Visa / Work Authorization Required.⚠️ Candidates must have legal eligibility to work in the UAE. Visit Visa and Tourist Visa holders are not eligible for employment.???? WHY JOIN US????? Competitive Salary???? Training & Professional Development???? International Team???? Innovative Technology Environment???? Career Growth Opportunities???? Performance Bonus???? Professional Work Environment???? INTERESTED? APPLY NOWIf you are interested in this opportunity, please send us a message and let us know. We will provide more details about the role and the next steps.???? Send your CV / Resume and join our team in Dubai, UAE.
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Role: Machine Learning Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a contract basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.<br>Key Responsibilities:• Design and implement machine learning models using Python, Tensor Flow, or PyTorch to address specific business problems.• Collaborate with data scientists and software engineers to deploy models into production environments.• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.<br>Required Skills & Qualifications:• Proficiency in Python and experience with machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in data structures, algorithms, and statistical modeling techniques.• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.• Knowledge of SQL and databases for data extraction and preprocessing tasks.• Familiarity with version control systems (e.g., Git) and collaborative development workflows.• Understanding of MLOps practices for model monitoring, logging, and continuous integration.• Experience with hyperparameter tuning and model optimization techniques.• Ability to work independently and manage multiple tasks in a fast-paced environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!
Company Description Lalan SR Automation Systems (Pvt) Ltd specializes in Siemens automation products and end-to-end automation solutions, from concept to completion. The company operates as an authorized distributor for Siemens automation products, including PLCs, HMIs, motors, VFDs, servos, and related programming software. In addition, the team designs and manufactures control panels such as PCC, MCC, IMCC, and control desks tailored to client needs. The company provides application software development, installation, and erection of PLC, HMI, SCADA systems, AC/DC drives, and servo drives, along with commissioning, upgrades, retrofitting, maintenance, and troubleshooting services. Applicants can expect to work in a technically focused environment that supports industrial automation projects across diverse industries.<br>Role Description This is a full-time, on-site Writer role based in Al Jizah, Egypt. The Writer will create clear, accurate, and engaging technical and marketing content related to Siemens automation products, control panels, and automation solutions. Daily responsibilities include drafting and editing product descriptions, manuals, user guides, case studies, proposals, and website content. The role will also involve collaborating with engineers, sales teams, and project managers to translate technical information into accessible language for various audiences. The Writer will support the development of presentation materials, documentation for commissioning and maintenance, and content for digital channels that reflect the company’s brand and technical expertise.<br>Qualifications<br> Strong writing and editing skills, with experience creating technical documentation, user guides, and marketing copy. Ability to understand and translate complex engineering or automation concepts into clear, reader-friendly content. Familiarity with industrial automation, electrical engineering, or related technical fields is highly beneficial. Proficiency in using word processing and documentation tools; experience with basic layout or document design is an advantage. Excellent attention to detail, organization, and time management skills to handle multiple projects and deadlines. Strong collaboration and communication skills to work effectively with technical and non-technical stakeholders on-site. Bachelor’s degree in Engineering, Technical Writing, Communications, English, or a related field, or equivalent practical experience. Comfort working in an on-site industrial or engineering environment in Al Jizah, Egypt.
<p><strong>Job Description:</strong></p><ul><li>Undertake valuations, financial model reviews and model build engagements,</li><li>Analyse the financial and operational performance of companies planning to raise money / exit from the business by reviewing financial information and participating in interviews with management.</li><li>Plan, prepare and review deliverable in various forms including excel data book, written report, presentation and client discussions.</li><li>Formulate the scope of work for engagements, take responsibility for quality control and the accuracy of client’s deliverable as well as the risk associated with them</li><li>Manage the development and execution of the business plan to expand the department’s advisory services</li><li>Manage project economics and profitability</li><li>Take responsibility for own learning and development, provide coaching to others, participate in upward feedback and provide value added inputs</li><li>Lead by example when conducting performance reviews and training sessions for other team members to assist their development</li><li>Coach junior team members and encouraging technical excellence and learning</li><li>Client relationship management</li><li>Assist the Partner & Director in identifying and developing new business opportunities/ proposals</li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>Bachelor's or Master's degree in Accounting, Business Management, Finance or related field</li><li>Minimum 6-8 years relevant experience, preferably in the investment banking, financial management consulting or private equity</li><li>Individuals with experience from Big 4 firms is a plus</li><li>You should have good communication strong project management and report writing skills fluency in English and have excellent MS Excel Word and PowerPoint skills</li><li>A self starter with commercial acumen and business insight and have strong understanding of the deal environment</li></ul><p><br></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><br><p><strong>Required Skills & Competencies:</strong></p><ul><li><p>Dedicated to the development and optimization of native Android applications.</p></li><li><p>Native Development: Designing and building advanced applications for the Android platform using Kotlin/Java.</p></li><li><p>Quality & Security: Focusing on unit-testing for robustness, edge case handling, and ensuring the application adheres to the latest Android security and performance standards</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><br></p><ul><li><p>Experience: 8+ Years</p></li><li><p>Employment Type: 12-month & extendable contract </p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The FSRA is responsible for the regulation of Financial Services activities in the ADGM.</p><p>The Supervision & Markets Department consists of the Supervision Department (Supervision) and the Markets Department (Markets). This Manager – Market Operations (MO) role is within the Markets Department.</p><p>Covering Financial Instruments (across Securities and Derivatives), Virtual Assets and Spot Commodities, Markets authorises and supervises Market Infrastructures (being Recognised Investment Exchanges, Recognised Clearing Houses, Settlement Facilities, MTFs and OTFs), Remote Bodies, Remote Members, Issuers, Reporting Entities and Benchmark Providers (together ‘Markets Firms’). It is also responsible for the development and oversight of the offering, listing, trading, settlement, clearing and surveillance regimes, that are benchmarked to international regulatory standards.</p><p>The role of the Manager is to operate within the Market Operations (MO) team, with a particular focus on Market Infrastructure specific operations and risks, including in relation to Virtual Assets, for Markets Firms. The MO team supports the other teams within Markets, particularly the Market Infrastructure team, across relevant authorisation and supervision aspects, and is responsible for relevant supervisory policies and practices towards creating a diversified, vibrant and robust capital market within ADGM.</p><p>The Manager (MO) will be expected to be a key member of the team and work effectively with all colleagues, particularly in relation to operational and risk matters, with a focus on Derivative and Virtual Asset trading, custody, clearing and related supervisory practices. </p><p>The Role reports into the Senior Manager (MO) and works closely with other colleagues within the Markets Department and across FSRA and ADGM.</p><p>Operational responsibilities</p><ul><li><p>Assist in the assessment and management of operational and technology risks during licencing and supervision of Markets Firms, across trading, settlement, clearing, custody, etc.</p></li><li><p>Assist in the management of regulatory relationships with market stakeholders (Markets Firms, Vendors, Service providers and other regulatory agencies, etc) </p></li><li><p>Monitor and manage specific Virtual Asset operational and technology risks (during licencing and supervision).</p></li><li><p>Provide SME Support to Senior Manager in relation to wider supervisory engagements with Markets Firms.</p></li><li><p>Keep up to date to advise Markets’ senior management on changes to regional and international regulations and policy that will impact Markets’ (particularly MO) supervisory functions.</p></li><li><p>Liaise with other internal stakeholders within FSRA and ADGM as appropriate.</p></li><li><p>Deliver additional tasks, or carry out any other duties, that may be delegated from the Senior Manager.</p></li><li><p>Participate and deliver on projects that may be allocated thereto.</p></li><li><p>Adherence to all internal policies, rules and behaviours</p></li></ul><p>Organisational responsibilities </p><ul><li><p>Support in the development and administration of market operations and risk related rules and authorisation/supervisory processes for the regulation of Markets Firms.</p></li><li><p>Support in the administration of rules, policies and procedures governing the initial authorisation, and ongoing supervision, of Market Firms.</p></li><li><p>Contribute to the development of the short term and long term objectives of Markets and Supervision Division.</p></li></ul><p>Information Security related<em> </em></p><ul><li><p>Understand, adopt, adhere and practice responsibilities or controls as per ADGM Information Security policy and as per best practices explained in the induction and awareness sessions. </p></li><li><p>Confidentiality, Integrity and availability of the ADGM Information shall be maintained at all times i.e. within as well as outside ADGM.<strong> </strong></p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum Bachelor’s Degree.</p></li><li><p>Professionally qualified in one of the following disciplines: Software Engineering / Systems Engineering, or related disciplines.</p></li></ul><br><p>Work Experience: </p><ul><li><p>Minimum 8-10 years of experience in the same field.</p></li><li><p>Ability in, and understanding of, technology, operations, regulations, and risk management as conducted by Markets Firms.</p></li><li><p>Comprehensive understanding of Virtual Asset Markets, including in relation to Virtual Asset Wallet architecture and Wallet tracing systems / tools.</p></li><li><p>Expert knowledge of the requirements contained within COBS Rule 17.5, MIR 2.5 and MIR 2.6.</p></li><li><p>Strong internal and external stakeholder management skills.</p></li><li><p>Demonstrate strong project management, planning, organisation and analytical skills </p></li><li><p>Fluent in business English.</p></li></ul><br><p>Desirable:</p><ul><li><p>Experience in supervising Markets Firms.</p></li><li><p>Experience as a development manager, software engineer or systems/security architect.</p></li><li><p>Experience in tech-ops of Exchanges, Clearing Houses or MTFs.</p></li><li><p>Experience in FIX Feed development, requirements and management.</p></li><li><p>Experience in dealing with international regulatory bodies.</p></li><li><p>Proficient in Arabic or other language(s) and understanding of the Arabic culture.</p></li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>We are seeking a dynamic Human Resources Executive to join our vibrant recruitment team in the UAE. This role is ideal for individuals passionate about fostering talent and enhancing workplace culture. In this position, you will play a crucial role in connecting exceptional candidates with leading organizations in the oil and gas industry. Your contributions will not only help in shaping careers but also in driving the success of our clients.</p><p>As a Human Resources Executive, you will have the opportunity to grow your career in a supportive environment that values continuous learning and professional development. Our agency prides itself on a collaborative culture, where every team member's input is valued. You will receive comprehensive training and mentorship, allowing you to develop your skills in recruitment strategies, candidate assessment, and client relationship management. This is more than just a job; it is a chance to build a fulfilling career in a thriving industry.</p><p>In this role, you will be at the forefront of recruitment efforts, working closely with clients to understand their needs and sourcing the best talent available. You will have the chance to influence the hiring processes of major players in the oil and gas sector, making a significant impact on their workforce. Join us in this exciting journey and take your career to new heights!</p><p><b>Responsibilities:</b></p><ol><li>Conduct thorough candidate searches using various platforms, ensuring a diverse pool of applicants that meet client specifications in the oil and gas sector.</li><li>Screen resumes and conduct initial interviews to assess candidates’ qualifications, ensuring alignment with both client needs and cultural fit.</li><li>Develop and maintain strong relationships with clients, understanding their unique hiring requirements and providing tailored recruitment solutions.</li><li>Utilize recruitment software and tools to track candidates and manage the hiring process efficiently, ensuring a seamless experience for both candidates and clients.</li><li>Coordinate and schedule interviews between candidates and clients, ensuring timely communication and feedback throughout the process.</li><li>Provide guidance and support to candidates during the interview process, preparing them for success and addressing any concerns they may have.</li><li>Monitor industry trends and market conditions to provide clients with insights that can enhance their recruitment strategies and attract top talent.</li><li>Assist in the development of recruitment marketing materials to promote job openings and attract qualified candidates within the oil and gas field.</li><li>Participate in team meetings and contribute ideas for improving recruitment processes and enhancing team performance.</li></ol> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul><li>Strong communication skills to effectively interact with candidates and clients.</li><li>Proficiency in recruitment software and applicant tracking systems for efficient candidate management.</li><li>Ability to assess candidate qualifications and cultural fit for various organizations.</li><li>Knowledge of the oil and gas industry to understand client needs better.</li><li>Excellent organizational skills to manage multiple recruitment projects simultaneously.</li><li>Strong relationship-building skills to foster long-term partnerships with clients.</li><li>Adaptability and problem-solving abilities to navigate the dynamic recruitment landscape.</li></ul></div>