Machine operator Jobs
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Master the art. Lead the team. Create unforgettable dining experiences.<br>Discovery Dunes Golf Club is seeking an experienced and passionate Sushi Chef to join our Culinary team and help shape one of Dubai's most exclusive dining destinations. This is an exciting opportunity for a talented culinary professional with a deep understanding of Japanese cuisine, exceptional knife skills, and a passion for delivering world-class food and hospitality experiences.<br>About the Role Reporting to the Director of Culinary, you will lead the Sushi Kitchen, overseeing daily operations, menu development, food quality, team performance, and operational excellence. You will play a key role in creating innovative sushi offerings while maintaining the highest standards of consistency, presentation, food safety, and member satisfaction.<br>Key Responsibilities:Lead the daily operation of the Sushi Kitchen and ensure exceptional food quality and presentation. Develop and execute innovative sushi and Japanese-inspired menu offerings. Train, mentor, and develop junior chefs while fostering a positive and high-performing team culture. Maintain the highest standards of hygiene, food safety, and HACCP compliance. Manage inventory, ordering, stock control, and food cost targets. Source premium ingredients and collaborate with suppliers to maintain exceptional product quality. Drive operational excellence through effective scheduling, productivity management, and waste reduction. Support culinary activations, special events, and member dining experiences. Build strong relationships with members through exceptional service and culinary engagement.<br>What Skills & Qualifications Are Required:5+ years of experience in high-end Japanese restaurants, luxury hotels, resorts, or private clubs. Strong expertise in sushi preparation, Japanese cuisine, seafood handling, and knife techniques. Proven leadership experience managing and developing culinary teams. Strong understanding of food costing, inventory management, and kitchen operations. HACCP knowledge and commitment to food safety excellence. Ability to thrive in a fast-paced luxury hospitality environment. PIC Certification is a plus.<br>Why Join Us? At Discovery Dunes Golf Club, you'll be immersed in an elite and exclusive environment where your contributions are valued. Join us in creating a distinctive experience for our members and colleagues at Discovery Land Company!<br>Are you ready to take this unique journey with us? Apply now, and let’s create something extraordinary together!<br>About Us:Discovery Land Company is a US-based real estate developer and operator of private residential club communities and resorts, boasting a world-renowned portfolio of domestic and international properties. Our mission is to create unique environments that provide individuals and families the freedom, security, and resources to learn, grow, and play in some of the most beautiful places in the world. Discovery Dunes is Dubai’s first private golf residential community for families of all generations. Its welcoming, family-oriented lifestyle will be effortlessly elegant, yet filled with moments of light-hearted fun and adventure. For more information about our company, please visit Discovery Dunes.<br>#LI-NA1
Inspire performance. Build relationships. Transform lives.<br>Discovery Dunes Golf Club is seeking an energetic, passionate, and highly motivated Personal Trainer to join our Wellness team. This is an exciting opportunity to work within one of Dubai's most exclusive private lifestyle communities, helping members achieve their health, fitness, and wellness goals through personalized training programs, exceptional service, and meaningful member relationships.<br>About the Role As a Personal Trainer, you will be responsible for delivering personalized fitness coaching, conducting fitness assessments, and designing effective training programs tailored to each member's goals and abilities. You will play an important role in creating a welcoming, motivating, and results-driven environment while promoting a holistic approach to health and wellbeing.<br>Key Responsibilities:Deliver one-on-one and small group personal training sessions. Conduct fitness consultations, assessments, and goal-setting sessions. Design individualized exercise programs tailored to member needs and objectives. Motivate, educate, and support members throughout their fitness journey. Ensure safe and effective exercise techniques and training practices. Maintain a clean, organized, and professional training environment. Build strong relationships with members and encourage long-term engagement. Collaborate with Wellness, Golf, and Member Services/Experience teams to enhance the overall member experience. Support wellness events, fitness challenges, workshops, and club activations. Stay current with industry trends, certifications, and best practices.<br>What Skills & Qualifications Are Required:Recognized Personal Training certification (Level 3 or equivalent). CPR and First Aid certification. Minimum 5 years of experience as a Personal Trainer within a luxury fitness facility, private club, resort, or wellness environment. Strong knowledge of exercise science, fitness programming, and injury prevention. Excellent communication and interpersonal skills. Passion for health, wellness, and helping others achieve their goals. Professional, positive, and service-oriented attitude. Ability to build trust and maintain strong member relationships. Ability to work flexible work hours/schedule including evenings, weekends, and holidays. Long hours may be required due to business demands.<br>Why Join Us? At Discovery Dunes Golf Club, you'll be immersed in an elite and exclusive environment where your contributions are valued. Join us in creating a distinctive experience for our members and colleagues at Discovery Land Company!<br>Are you ready to take this unique journey with us? Apply now, and let’s create something extraordinary together!<br>About Us:Discovery Land Company is a US-based real estate developer and operator of private residential club communities and resorts, boasting a world-renowned portfolio of domestic and international properties. Our mission is to create unique environments that provide individuals and families the freedom, security, and resources to learn, grow, and play in some of the most beautiful places in the world. Discovery Dunes is Dubai’s first private golf residential community for families of all generations. Its welcoming, family-oriented lifestyle will be effortlessly elegant, yet filled with moments of light-hearted fun and adventure. For more information about our company, please visit Discovery Dunes.<br>#LI-NA1
Lead exceptional hospitality experiences on and off the course.<br>Discovery Dunes is looking for an experienced and service-driven F&B Supervisor to join our Food & Beverage team. This is an exciting opportunity for a hospitality professional who thrives in a luxury environment and enjoys leading teams, maintaining operational excellence, and creating memorable experiences for members and guests.<br>About the Role As an F&B Supervisor, you will oversee the daily operation and presentation of our on-course hospitality outlets, ensuring the highest standards of service, cleanliness, product quality, and member experience. You will play a key role in supporting inventory management, operational readiness, team development, and continuous improvement initiatives across the golf course operation.<br>Key Responsibilities:Lead the daily operation of on-course hospitality outlets and ensure exceptional service standards. Ensure all outlets are fully stocked, organized, and maintained to Discovery Dunes standards. Manage inventory, ordering, stock control, and operational supplies. Support product sourcing initiatives and collaborate with suppliers and vendors. Monitor product quality, presentation standards, and member preferences. Lead, train, coach, and motivate team members through daily briefings and hands-on leadership. Conduct regular inspections to ensure compliance with hygiene, safety, and operational standards. Coordinate with Culinary, Golf Operations, Procurement, and other departments to ensure seamless service delivery. Support special events, seasonal activations, and member experience initiatives. Handle member requests and concerns professionally while maintaining a service-first approach.<br>What Skills & Qualifications Are Required:2–3 years of experience in a luxury restaurant, resort, golf club, hotel, or private members' club. Strong leadership and team development skills. Excellent knowledge of food and beverage operations, wine, and service standards. Experience with inventory management, purchasing, and operational controls. Strong communication and interpersonal skills. Knowledge of HACCP and food safety standards. A proactive, detail-oriented, and service-focused mindset. Ability to work flexible hours, including weekends and holidays.<br>Why Join Us? At Discovery Dunes Golf Club, you'll be immersed in an elite and exclusive environment where your contributions are valued. Join us in creating a distinctive experience for our members and colleagues at Discovery Land Company!<br>Are you ready to take this unique journey with us? Apply now, and let’s create something extraordinary together!<br>About Us:Discovery Land Company is a US-based real estate developer and operator of private residential club communities and resorts, boasting a world-renowned portfolio of domestic and international properties. Our mission is to create unique environments that provide individuals and families the freedom, security, and resources to learn, grow, and play in some of the most beautiful places in the world. Discovery Dunes is Dubai’s first private golf residential community for families of all generations. Its welcoming, family-oriented lifestyle will be effortlessly elegant, yet filled with moments of light-hearted fun and adventure. For more information about our company, please visit Discovery Dunes.<br>#LI-NA1
Senior Manager - ML & AI Safety United Arab Emirates Permanent Position<br>We are looking for a Senior Manager to help lead AI safety and readiness projects for a bank in the UAE. <br>You will be a key player between business and technical, ensuring the safety and security of the businesses AI solutions. <br>Your responsibilities:Gen AI Evals and Guardrails Predictive Machine Learning Stakeholder Management: AI project teams/ AI CoE members Policies, Processes, Systems and Procedures Identify opportunities within the AI roadmap<br>Experience needed:Experience in banking or financial services7+ years in ML or Data Science Python code proficiency XAI libraries LLM evaluation frameworks (e.g., Ragas, Giskard, Arize) Systems Design Leadership and management<br>Industry Banking or FS<br>Degree MSc or PhD in Com Sci, Data Science, Statistics or related field. *Must have a degree to apply for this job*<br>Package Tax free salary & bonus Visa + family Medical insurance + family Relocation allowances (if relocating from overseas)<br>**Due to the high volume of applicants, only candidates with the above experience will be contacted**
Company Description Digital Media Sapiens is a global marketing and technology agency that partners with businesses to navigate the digital age. With a presence in four locations worldwide, including Dubai, Serbia, India, and headquarters in the USA, the agency combines strategy, creativity, media, and technology to drive transformation. Our passionate team of specialists collaborates with clients across various industries, including FMCG, finance, publishing, retail, medical, telecoms, and travel, to create innovative and impactful solutions. At Digital Media Sapiens, we uniquely connect data with storytelling to help brands stand out and engage audiences in meaningful, valuable ways.<br>Role Description This is a full-time remote role for an AI SEO & Creative Digital Marketing Specialist for a company based in Dubai. The role involves performing keyword research, conducting SEO audits, implementing on-page and off-page SEO strategies, engaging in link-building activities, and utilizing web analytics to monitor and optimize performance. The specialist will work closely with the team to develop creative marketing strategies tailored to client needs.<br>Qualifications Proficient in Keyword Research, On-Page SEO, and SEO Audits to ensure content is search engine optimized. Experience with Link Building and Off-Page SEO strategies to improve website ranking and domain authority. Expertise in Web Analytics to monitor performance, identify trends, and provide actionable insights. A strong understanding of AI technology and its applications in digital marketing is preferred but not required. Ability to develop creative marketing strategies and effectively communicate data insights. Proficiency in using tools such as Google Analytics, Google Search Console, and SEO tools like SEMrush or Ahrefs is an advantage. Proficiency in Social Media Marketing and Lead Generation techniques Solid foundation in Digital Marketing and Marketing fundamentals Strong analytical thinking and problem-solving skills Excellent team collaboration and communication skills Experience in implementing AI or machine learning for marketing campaigns is a plus Bachelor’s degree in Marketing, Communications, Computer Science, or a related field is preferred.
<p>The AI Engineer / Agent Developer is the hands-on builder of the Group’s Agentic AI capability, turning approved use cases into working, reliable agents that operate safely against real enterprise systems and data.
The role spans rapid prototyping and production engineering — designing prompts and retrieval strategies, integrating agents with core platforms and tools, and instrumenting them so that accuracy, reliability, cost, and exception handling can be measured and improved. Success is judged not by demonstrations but by agents that hold up in daily business use under enterprise standards of security and control.
</p><p><strong>▶ Agent Development & Engineering</strong>
– Build, configure, and test AI agents against defined business use cases, translating solution blueprints into working implementations.
– Work hands-on across prompt engineering, retrieval-augmented generation (RAG), workflow automation, API development, and tool integration.
– Implement agent reasoning patterns, tool selection logic, memory and context management, and structured output handling.
– Design and implement guardrails — input validation, output constraints, confidence thresholds, and safe failure behaviour.
– Apply disciplined engineering practice: version control, code review, environment separation, automated testing, and CI/CD pipelines.
▶ <strong>Prototyping & Production Deployment</strong>
– Develop rapid prototypes that prove or disprove feasibility quickly, with clear articulation of assumptions and limitations.
– Support the transition of validated prototypes into production deployment, including hardening, performance tuning, and operational documentation.
– Prepare release artefacts, runbooks, and support handover materials for infrastructure and application support teams.
– Contribute to shared libraries, reusable components, prompt templates, and evaluation harnesses that accelerate future builds.
▶ <strong>Enterprise Systems Integration</strong>
– Connect AI agents with enterprise systems, documents, databases, and workflow tools, including ERP, CRM, HRMS, procurement, and document repositories.
– Build and consume secure APIs and integration services, managing authentication, rate limits, error handling, and retry logic.
– Implement human-in-the-loop approval steps and escalation routes so that agent actions remain reviewable and reversible.
– Coordinate with enterprise application owners on data contracts, sandbox access, regression testing, and release windows.
▶ <strong>Performance Monitoring & Quality Assurance</strong>
– Monitor agent performance, accuracy, reliability, latency, and exception handling in both test and production environments.
– Build evaluation datasets and automated test suites to detect regression when prompts, models, or upstream data change.
– Investigate failures and unexpected behaviour to root cause, and implement corrective changes with documented evidence of improvement.
– Track token consumption and inference cost, and optimise model selection, context size, and caching accordingly.
▶ <strong>Collaboration, Security & Documentation</strong>
– Work closely with the AI / Agentic AI Lead, data engineers, application specialists, and business users throughout the delivery cycle.
– Apply cybersecurity and data protection requirements in every build, including data classification, secrets management, and least-privilege access.
– Maintain clear technical documentation covering architecture, prompts, integrations, known limitations, and support procedures.
– Support user enablement by demonstrating capability, gathering structured feedback, and iterating on real-world usage.
</p><p><strong>Desired Candidate Profile</strong></p><p>▶ Education
– Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related discipline.
– Postgraduate qualification in Artificial Intelligence, Machine Learning, or Data Science is an advantage.
▶ Professional Certifications
– Certification in a major AI or cloud platform (Microsoft Azure AI Engineer, AWS Machine Learning, Google Cloud Professional ML Engineer, or equivalent).
– Developer-level certifications in Python, cloud application development, or integration platforms are advantageous.
– Recognised training in Agentic AI frameworks, RAG architecture, or LLM application security is an asset.
▶ Experience
– 4–7 years of experience in software development, automation, data engineering, AI/ML, or enterprise application integration.
– Hands-on experience in building, configuring, testing, and deploying AI agents or GenAI-based applications.
– Experience with AI/GenAI platforms such as OpenAI API, Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, or similar.
– Familiarity with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.
– Demonstrated experience integrating applications with enterprise systems, databases, document repositories, and workflow tools.
– Exposure to production support, monitoring, and incident resolution for deployed solutions.
▶ Key Skills & Attributes
– Strong practical coding ability, with clean, testable, and well-documented implementation.
– Structured debugging and root-cause analysis for probabilistic systems where failures are not always reproducible.
– Clear judgement on when a prototype is genuinely production-ready and when it is not.
– Ability to work directly with business users to refine requirements and validate outputs.
– Disciplined approach to security, data protection, and access control in every build.
– Curiosity and self-directed learning in a technology area that changes month to month
</p>
Description<br><br>Content Specialist is responsible for creating, curating, and managing content across various platforms and mediums. This role ensures that content is accurate, engaging, and aligned with the organization's goals and brand voice.<br><br>Key job responsibilities<br><br>Key job responsibilities<br><br> Develop and maintain a content strategy that supports organizational objectives Create high-quality, engaging content for various channels (e.g., websites, newsletters) Edit and proofread content to ensure accuracy, clarity, and consistency Collaborate with subject matter experts and stakeholders to gather information and validate content Design and develop instructional materials, including e-learning modules, job aids, and training manuals Apply adult learning theories and instructional design models (e.g., ADDIE, SAM) to create engaging learning experiences<br><br>Basic Qualifications<br><br> Knowledge of Microsoft Office applications (Excel, Word, Share Point, and Power Point) Experience with Learning Management Systems (LMS), or experience as a trainer and ability to manage a classroom of learners Knowledge of at least one programming language such as Java, C#, Java Script, Python, Ruby or Perl Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign Strong understanding of adult learning principles, learning theories (e.g., ADDIE, SAM), & instructional design models.<br><br>Preferred Qualifications<br><br> Bachelor's degree or equivalent, or experience in learning design, learning science, instructional design, educational psychology, or a similar field Knowledge of a front-end language (Javascript, CSS, HTML, etc.) Experience in visual design expertise demonstrated through mockups and style guides Knowledge of Adobe design programs including Photoshop, Illustrator, InDesign Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Knowledge of and proficiency in a variety of design tools such as Photoshop, Illustrator, Fireworks, and InDesign<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br><br>Company - Q-Express Documents Transport - G25<br><br>Job ID: A10492627
Description<br><br>Content Specialist is responsible for creating, curating, and managing content across various platforms and mediums. This role ensures that content is accurate, engaging, and aligned with the organization's goals and brand voice.<br><br>Key job responsibilities<br><br>Key job responsibilities<br><br> Develop and maintain a content strategy that supports organizational objectives Create high-quality, engaging content for various channels (e.g., websites, newsletters) Edit and proofread content to ensure accuracy, clarity, and consistency Collaborate with subject matter experts and stakeholders to gather information and validate content Design and develop instructional materials, including e-learning modules, job aids, and training manuals Apply adult learning theories and instructional design models (e.g., ADDIE, SAM) to create engaging learning experiences<br><br>Basic Qualifications<br><br> Knowledge of Microsoft Office applications (Excel, Word, Share Point, and Power Point) Experience with Learning Management Systems (LMS), or experience as a trainer and ability to manage a classroom of learners Knowledge of at least one programming language such as Java, C#, Java Script, Python, Ruby or Perl Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign Strong understanding of adult learning principles, learning theories (e.g., ADDIE, SAM), & instructional design models.<br><br>Preferred Qualifications<br><br> Bachelor's degree or equivalent, or experience in learning design, learning science, instructional design, educational psychology, or a similar field Knowledge of a front-end language (Javascript, CSS, HTML, etc.) Experience in visual design expertise demonstrated through mockups and style guides Knowledge of Adobe design programs including Photoshop, Illustrator, InDesign Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Knowledge of and proficiency in a variety of design tools such as Photoshop, Illustrator, Fireworks, and InDesign<br><br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br><br>Company - Q-Express Documents Transport - G25<br><br>Job ID: A10492627
Role: Software Engineer - AI and Machine Learning (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems using verifiable SWE tasks based on public repository histories. This role focuses on hands-on engineering, repository validation, and evaluation of LLM performance in bug-fixing scenarios.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries to assess feasibility for LLM evaluation.• Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation.• Evaluate unit test coverage and quality in real-world codebases to identify gaps relevant to LLM performance.• Modify and run codebases locally to assess how LLMs interact with real code in bug-fixing and development tasks.• Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in C# and ability to navigate complex codebases efficiently.• Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing.• Hands-on experience running, modifying, and testing real-world open-source projects locally.• Ability to understand and evaluate unit test coverage and quality in existing codebases.<br>More About the Opportunity:This role offers a unique opportunity to work on cutting-edge AI projects with leading LLM companies, contributing to the future of AI-assisted software development. Opportunities exist to lead a team of junior engineers and shape the evaluation methodology for LLM performance in software engineering tasks.<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: AI Solution Architect Location: Remote Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Engagement Lead / Solution Architect to drive a generative AI engagement end-to-end for a Fortune 500 financial-services client. The role requires owning solution design, key technical decisions, and client relationship from proof-of-concept through full-scale implementation.<br>Key Responsibilities:• Act as the single point of accountability for both architecture and delivery, leading a team of specialists including AI/ML engineers and integration engineers.• Own the solution design, set guardrails, and govern delivery to ensure a governed release aligned with client priorities.• Make and defend key design decisions, ensuring alignment with modern generative AI agentic frameworks and integration patterns.• Partner with the client’s architects, business analysts, and valuation subject-matter experts to align technical solutions with business outcomes.• Lead end-to-end program execution, ensuring seamless integration and automation across enterprise systems.<br>Required Skills & Qualifications:• 10+ years of professional experience, with 4+ years driving machine learning or AI projects and solution design.• Accountable ownership of solution architecture, including setting target architecture and defending design decisions.• Deep understanding of modern generative AI agentic designs and frameworks such as Lang Chain or Lang Graph.• Experience with AI integration patterns, including Model Context Protocol (MCP)-style architectures.• Proficiency in cloud platforms including Azure, Google Cloud Platform, or AWS.• Strong collaboration skills to align technical solutions with business stakeholders and SMEs.• Experience delivering enterprise-scale AI solutions in financial-services or regulated environments.• Ability to lead cross-functional teams and manage client relationships at executive levels.<br>More About the Opportunity:This role offers a unique opportunity to contribute to the deployment of mission-critical AI systems for a leading financial-services organization. You will shape the technical vision and execution for a high-impact generative AI initiative.<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: Member of Technical Staff - Frontier AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $600K - $2000K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Frontier AI) to work on a full-time basis. This role focuses on advancing cutting-edge AI models and systems at the frontier of the field. The position involves deep technical contributions to research and development efforts that push the boundaries of current AI capabilities.<br>Key Responsibilities:• Design, implement, and optimize next-generation AI architectures and algorithms.• Lead research initiatives to improve model efficiency, scalability, and performance.• Collaborate with cross-functional teams to integrate AI solutions into production systems.• Publish findings and contribute to technical reports, whitepapers, or conference submissions.• Evaluate and benchmark new AI models, frameworks, and hardware accelerators.<br>Required Skills & Qualifications:• PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.• Proficiency in deep learning frameworks such as PyTorch or Tensor Flow.• Strong background in large-scale distributed training and model optimization techniques.• Experience with AI hardware and accelerator architectures (e.g., GPUs, TPUs).• Demonstrated ability to conduct independent research and drive technical projects.• Familiarity with reinforcement learning, generative models, or multi-modal AI systems.• Excellent debugging and analytical skills for complex AI systems.• Ability to communicate technical concepts effectively to diverse audiences.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet industry, contributing to the development of state-of-the-art AI systems that will shape the future of the field. The position includes access to advanced computational resources and collaboration with leading researchers and engineers in the AI community.<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: Software Engineer - AI and Machine Learning (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems using verifiable SWE tasks based on public repository histories. This role focuses on hands-on engineering, repository validation, and evaluation of LLM performance in bug-fixing scenarios.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries to assess feasibility for LLM evaluation.• Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation.• Evaluate unit test coverage and quality in real-world codebases to identify gaps relevant to LLM performance.• Modify and run codebases locally to assess how LLMs interact with real code in bug-fixing and development tasks.• Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in C# and ability to navigate complex codebases efficiently.• Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing.• Hands-on experience running, modifying, and testing real-world open-source projects locally.• Ability to understand and evaluate unit test coverage and quality in existing codebases.<br>More About the Opportunity:This role offers a unique opportunity to work on cutting-edge AI projects with leading LLM companies, contributing to the future of AI-assisted software development. Opportunities exist to lead a team of junior engineers and shape the evaluation methodology for LLM performance in software engineering tasks.<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: Member of Technical Staff - Frontier AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $600K - $2000K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Frontier AI) to work on a full-time basis. This role focuses on advancing cutting-edge AI models and systems at the frontier of the field. The position involves deep technical contributions to research and development efforts that push the boundaries of current AI capabilities.<br>Key Responsibilities:• Design, implement, and optimize next-generation AI architectures and algorithms.• Lead research initiatives to improve model efficiency, scalability, and performance.• Collaborate with cross-functional teams to integrate AI solutions into production systems.• Publish findings and contribute to technical reports, whitepapers, or conference submissions.• Evaluate and benchmark new AI models, frameworks, and hardware accelerators.<br>Required Skills & Qualifications:• PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.• Proficiency in deep learning frameworks such as PyTorch or Tensor Flow.• Strong background in large-scale distributed training and model optimization techniques.• Experience with AI hardware and accelerator architectures (e.g., GPUs, TPUs).• Demonstrated ability to conduct independent research and drive technical projects.• Familiarity with reinforcement learning, generative models, or multi-modal AI systems.• Excellent debugging and analytical skills for complex AI systems.• Ability to communicate technical concepts effectively to diverse audiences.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet industry, contributing to the development of state-of-the-art AI systems that will shape the future of the field. The position includes access to advanced computational resources and collaboration with leading researchers and engineers in the AI community.<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!
About the Role As an AI Architect, you will define the strategic architecture for enterprise AI initiatives, including Generative AI, Agentic AI, Machine Learning platforms, and intelligent automation solutions. You will work closely with business leaders, engineering teams, data scientists, and cloud architects to deliver secure, scalable, and production-ready AI systems. Key Responsibilities Define end-to-end architecture for AI, Gen AI, Agentic AI, and ML platforms. Design and implement scalable LLM-powered and multi-agent systems. Establish AI architecture standards, governance, security, and best practices. Drive technical architecture discussions across engineering and business stakeholders. Evaluate and recommend AI tools, frameworks, cloud services, and platforms. Ensure scalability, reliability, compliance, and performance of enterprise AI solutions. Define AI platform roadmaps and enterprise integration strategies. Mentor architects, engineers, and AI practitioners across teams. Guide organizations through large-scale AI transformation initiatives. Required Qualifications12+ years of experience in software engineering, solution architecture, or enterprise architecture. Strong expertise in AI/ML architecture and distributed system design. Hands-on experience with Large Language Models (LLMs), RAG architectures, and Agentic AI systems. Experience designing and deploying multi-agent AI solutions. Strong understanding of data engineering, ML lifecycle, MLOps, and AI governance. Experience with enterprise integration patterns, microservices, APIs, and event-driven architectures. Knowledge of AI security, compliance, privacy, and responsible AI principles. Proven ability to lead technical teams and architecture decisions. Technical Skills AI & Gen AIOpen AI, Azure Open AI, Claude, Gemini, Llama RAG (Retrieval-Augmented Generation) Prompt Engineering Vector Databases Knowledge Graphs AI Evaluation & Monitoring Agentic AILang Chain Lang Graph Crew AIAuto Gen Semantic Kernel Multi-Agent Orchestration Frameworks Cloud Platforms AWS (Bedrock, Sage Maker) Microsoft Azure (Azure Open AI, AI Foundry, AI Search) Google Cloud (Vertex AI) Data & MLOps Databricks Snowflake MLflow Airflow Kubeflow Preferred Qualifications Experience leading enterprise AI transformation programs. Experience building AI platforms serving multiple business units. Relevant cloud certifications (AWS, Azure, GCP). Experience working in regulated industries.
Role: AI Solution Architect Location: Remote Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking an AI Engagement Lead / Solution Architect to drive a generative AI engagement end-to-end for a Fortune 500 financial-services client. The role requires owning solution design, key technical decisions, and client relationship from proof-of-concept through full-scale implementation.<br>Key Responsibilities:• Act as the single point of accountability for both architecture and delivery, leading a team of specialists including AI/ML engineers and integration engineers.• Own the solution design, set guardrails, and govern delivery to ensure a governed release aligned with client priorities.• Make and defend key design decisions, ensuring alignment with modern generative AI agentic frameworks and integration patterns.• Partner with the client’s architects, business analysts, and valuation subject-matter experts to align technical solutions with business outcomes.• Lead end-to-end program execution, ensuring seamless integration and automation across enterprise systems.<br>Required Skills & Qualifications:• 10+ years of professional experience, with 4+ years driving machine learning or AI projects and solution design.• Accountable ownership of solution architecture, including setting target architecture and defending design decisions.• Deep understanding of modern generative AI agentic designs and frameworks such as Lang Chain or Lang Graph.• Experience with AI integration patterns, including Model Context Protocol (MCP)-style architectures.• Proficiency in cloud platforms including Azure, Google Cloud Platform, or AWS.• Strong collaboration skills to align technical solutions with business stakeholders and SMEs.• Experience delivering enterprise-scale AI solutions in financial-services or regulated environments.• Ability to lead cross-functional teams and manage client relationships at executive levels.<br>More About the Opportunity:This role offers a unique opportunity to contribute to the deployment of mission-critical AI systems for a leading financial-services organization. You will shape the technical vision and execution for a high-impact generative AI initiative.<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: Software Engineer - AI and Machine Learning (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Senior Software Engineer – C#(LLM Evaluation & Repository Validation) to work on a part-time basis. The project involves building LLM evaluation and training datasets to train models on realistic software engineering problems using verifiable SWE tasks based on public repository histories. This role focuses on hands-on engineering, repository validation, and evaluation of LLM performance in bug-fixing scenarios.<br>Key Responsibilities:• Analyze and triage Git Hub issues across trending open-source libraries to assess feasibility for LLM evaluation.• Set up and configure code repositories, including Dockerization and environment setup, for local testing and evaluation.• Evaluate unit test coverage and quality in real-world codebases to identify gaps relevant to LLM performance.• Modify and run codebases locally to assess how LLMs interact with real code in bug-fixing and development tasks.• Collaborate with researchers to design and identify repositories and issues that present meaningful challenges for LLMs.<br>Required Skills & Qualifications:• Minimum 3+ years of overall software engineering experience.• Strong proficiency in C# and ability to navigate complex codebases efficiently.• Experience with Git, Docker, and basic software pipeline setup for repository configuration and testing.• Hands-on experience running, modifying, and testing real-world open-source projects locally.• Ability to understand and evaluate unit test coverage and quality in existing codebases.<br>More About the Opportunity:This role offers a unique opportunity to work on cutting-edge AI projects with leading LLM companies, contributing to the future of AI-assisted software development. Opportunities exist to lead a team of junior engineers and shape the evaluation methodology for LLM performance in software engineering tasks.<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 Dominant Digital Distribution FZCO (D3) is a global digital technology distributor that connects innovative technology manufacturers with local markets worldwide. The company combines a strong understanding of regional requirements with a focus on exceptional service to deliver tailored digital solutions. D3 works closely with partners to help them leverage technology for business growth, operational efficiency, and competitive advantage. Operating in a rapidly evolving digital landscape, D3 is committed to enabling markets to adopt and maximize cutting-edge technologies.<br>Role Description This is a full-time, on-site Data Scientist role based in Dubai, United Arab Emirates. The Data Scientist will collect, clean, and analyze large datasets to generate insights that support strategic and operational decision-making. The role involves building and validating statistical and machine learning models, designing dashboards and visual reports, and communicating findings to technical and non-technical stakeholders. The Data Scientist will collaborate with product, operations, and commercial teams to identify data-driven opportunities, optimize processes, and measure performance. Additional responsibilities include documenting methodologies, maintaining data quality, and staying current with emerging data science tools and best practices.<br>Qualifications<br> Strong foundation in data science, including experience applying Data Science and Data Analytics methods to real-world business problems. Proficiency in Statistics and Data Analysis for hypothesis testing, experimentation, and performance measurement. Ability to create clear, actionable Data Visualization and dashboards for stakeholders. Hands-on experience with programming languages such as Python or R, and familiarity with common data science libraries (e.g., pandas, scikit-learn, Num Py). Experience working with relational and non-relational databases, SQL, and data querying tools. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering. Strong problem-solving skills, attention to detail, and the ability to translate business questions into analytical tasks. Effective communication skills and ability to work collaboratively in cross-functional teams. Experience in technology distribution, digital platforms, or related industries is an advantage.
Role: Member of Technical Staff - Frontier AI (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $600K - $2000K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff (Frontier AI) to work on a full-time basis. This role focuses on advancing cutting-edge AI models and systems at the frontier of the field. The position involves deep technical contributions to research and development efforts that push the boundaries of current AI capabilities.<br>Key Responsibilities:• Design, implement, and optimize next-generation AI architectures and algorithms.• Lead research initiatives to improve model efficiency, scalability, and performance.• Collaborate with cross-functional teams to integrate AI solutions into production systems.• Publish findings and contribute to technical reports, whitepapers, or conference submissions.• Evaluate and benchmark new AI models, frameworks, and hardware accelerators.<br>Required Skills & Qualifications:• PhD in Computer Science, AI, Machine Learning, or a related field, or equivalent industry experience.• Proficiency in deep learning frameworks such as PyTorch or Tensor Flow.• Strong background in large-scale distributed training and model optimization techniques.• Experience with AI hardware and accelerator architectures (e.g., GPUs, TPUs).• Demonstrated ability to conduct independent research and drive technical projects.• Familiarity with reinforcement learning, generative models, or multi-modal AI systems.• Excellent debugging and analytical skills for complex AI systems.• Ability to communicate technical concepts effectively to diverse audiences.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet industry, contributing to the development of state-of-the-art AI systems that will shape the future of the field. The position includes access to advanced computational resources and collaboration with leading researchers and engineers in the AI community.<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!
About the Role As an AI Architect, you will define the strategic architecture for enterprise AI initiatives, including Generative AI, Agentic AI, Machine Learning platforms, and intelligent automation solutions. You will work closely with business leaders, engineering teams, data scientists, and cloud architects to deliver secure, scalable, and production-ready AI systems. Key Responsibilities Define end-to-end architecture for AI, Gen AI, Agentic AI, and ML platforms. Design and implement scalable LLM-powered and multi-agent systems. Establish AI architecture standards, governance, security, and best practices. Drive technical architecture discussions across engineering and business stakeholders. Evaluate and recommend AI tools, frameworks, cloud services, and platforms. Ensure scalability, reliability, compliance, and performance of enterprise AI solutions. Define AI platform roadmaps and enterprise integration strategies. Mentor architects, engineers, and AI practitioners across teams. Guide organizations through large-scale AI transformation initiatives. Required Qualifications12+ years of experience in software engineering, solution architecture, or enterprise architecture. Strong expertise in AI/ML architecture and distributed system design. Hands-on experience with Large Language Models (LLMs), RAG architectures, and Agentic AI systems. Experience designing and deploying multi-agent AI solutions. Strong understanding of data engineering, ML lifecycle, MLOps, and AI governance. Experience with enterprise integration patterns, microservices, APIs, and event-driven architectures. Knowledge of AI security, compliance, privacy, and responsible AI principles. Proven ability to lead technical teams and architecture decisions. Technical Skills AI & Gen AIOpen AI, Azure Open AI, Claude, Gemini, Llama RAG (Retrieval-Augmented Generation) Prompt Engineering Vector Databases Knowledge Graphs AI Evaluation & Monitoring Agentic AILang Chain Lang Graph Crew AIAuto Gen Semantic Kernel Multi-Agent Orchestration Frameworks Cloud Platforms AWS (Bedrock, Sage Maker) Microsoft Azure (Azure Open AI, AI Foundry, AI Search) Google Cloud (Vertex AI) Data & MLOps Databricks Snowflake MLflow Airflow Kubeflow Preferred Qualifications Experience leading enterprise AI transformation programs. Experience building AI platforms serving multiple business units. Relevant cloud certifications (AWS, Azure, GCP). Experience working in regulated industries.
Head of Growth Content & Creator Commerce We're a multi-brand fashion and lifestyle group built for speed. In just a few years, we've grown from a standing start into one of the fastest-scaling platforms in the space, pairing sharp creative judgment with data, technology and a supply chain built to keep pace - all in service of brands that are built to win in a digital-first world.<br>The role We're looking for an accountable leader to own the full content, creator and affiliate ecosystem that drives acquisition across every brand we operate. It's the first of two senior hires shaping a deliberately lean DTC leadership team — you'll report directly to our incoming Global DTC lead and be their closest partner in the business.<br>What we're really testing for here: can you build a high-throughput, AI-driven content and creator machine — not just deliver polished one-off campaigns.<br>Responsibilities:Content engine: stand up the in-house studio and AI-powered production line — performance creative plus always-on content for site, CRM and marketplace Creator & affiliate: full ownership — partnerships, affiliate programs, seeding, creator relationships and community Organic social: grow audience and run always-on publishing across every brand channel Operations & infrastructure: build the backbone — workflows, rights management, asset systems and output speed Performance: push testing speed, close the feedback loop, and systematise what works so it gets reused<br>Ideal candidate:A genuine builder: you've personally stood up a content, creator or affiliate function from nothing and owned the commercial results — not stepped into something already built Real AI fluency: specific and current, not theoretical — expect a dedicated part of the interview process on this Proven scale: you've taken a digital-first growth function through a similar growth curve, ideally from tens of millions upward Lean by instinct: you build capability with limited resources rather than relying on big inherited teams and budgets Right category instinct: fashion, sportswear or a related premium consumer space, with a real feel for brand, product and culture — creator/influencer commerce background is a strong plus