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ai ml data engineer

Synechron

<div>
 
 Greetings,
 
 
 
 
 
 We have an immediate vacancy for an
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 with over 7 years of experience at Synechron, based in Dubai.
 
 
 
 
 
 Job Role:
 
 AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
 
 
 
 
 Location: Dubai
 
 
 
 
 
 
 
 
 
 About Company:
 
 
 
 At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 40 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
 
 
 
 
 
 
 Diversity, Equity, and Inclusion
 
 
 
 
 
 
 
 Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
 
 
 
 
 We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
 
 
 
 
 
 
 
 
 
 
 
 Job Descriptions:
 
 
 
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Degree, Post graduate in Computer Science or related field (or equivalent industry experience).
 </li>
 </ul>
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python, with a strong focus on document classification, cleansing, quality metrics, and the ability to work with LLMs, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning, enabling the development of AI-first applications across the enterprise.
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 
 Build robust, scalable data processing pipelines for unstructured documents (PDFs, emails, forms, etc.) using PySpark and Python.
 </li>
 <li>
 Implement document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications.
 </li>
 <li>
 Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.
 </li>
 <li>
 Engineer vector embeddings, document chunking, and metadata tagging for semantic search and question-answering systems.
 </li>
 <li>
 Collaborate closely with AI architect, AI/Data engineers, and platform teams to design end-to-end AI solutions.
 </li>
 <li>
 Communicate data readiness, pipeline quality, and model integration strategies clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Apply Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 Overall 5+ years of commercial experience with 2+ years in relevant role
 </li>
 <li>
 Strong proficiency in PySpark and distributed data frameworks.
 </li>
 <li>
 Solid experience in core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS, etc.).
 </li>
 <li>
 Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).
 </li>
 <li>
 Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.
 </li>
 <li>
 Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.
 </li>
 <li>
 Experience working in agile environments, collaborating with cross-functional teams.
 </li>
 <li>
 Excellent communication skills with the ability to interface with both technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

AI/ML Data Engineer

Al Ghurair

<div>
 
 Job Description
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Independently design and implement end-to-end AI, Generative AI, and agentic AI solutions, taking full technical ownership of architecture, development, deployment, and optimization.
 </li>
 <li>
 Architect and build frameworks for autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using APIs, tools, enterprise systems, and external services.
 </li>
 <li>
 Develop robust integration patterns for LLMs, ML models, and agentic systems with enterprise applications, including databases, APIs, and legacy platforms, enabling intelligent tool-using agents.
 </li>
 <li>
 Hands-on model selection, fine-tuning, evaluation, and optimization for LLMs, transformer-based architectures, diffusion models, and other advanced AI models.
 </li>
 <li>
 Design advanced system components such as agent memory, reflection loops, vector stores, and long-horizon planning mechanisms to support scalable agentic intelligence.
 </li>
 <li>
 Work closely with cross-functional stakeholders to identify automation and augmentation opportunities, translating business needs into AI architecture and actionable solution designs.
 </li>
 <li>
 Implement strong governance, compliance, and Responsible AI controls, ensuring transparency, security, and safe deployment of all autonomous and generative systems.
 </li>
 <li>
 Define and operationalize monitoring, observability, and performance evaluation frameworks for continuous improvement of AI models and agentic systems.
 </li>
 <li>
 Drive cost optimization strategies across AI infrastructure, training pipelines, inference workloads, and cloud resource utilization.
 </li>
 <li>
 Ensure measurable value realization by validating that implemented AI solutions deliver tangible business impact and align with organizational objectives.
 </li>
 <li>
 Collaborate with the AI/ML engineering community and provide technical direction when needed, while maintaining personal hands-on ownership of core development activities.
 
 
 </li>
 </ul>
 Education and Qualification
 
 
 <ul>
 <li>
 Master&rsquo;s degree (preferred) or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
 </li>
 <li>
 Advanced certifications or specialization in AI/ML architecture, cloud platforms, or generative AI technologies are a plus
 </li>
 <li>
 Certification in Databricks, Azure AI Engineer or Azure Data Scientist Associate
 </li>
 <li>
 8-10 years of experience in AI/ML solution design and architecture, including at least 4+ years in Generative AI and agentic AI systems.
 </li>
 <li>
 Proven track record in architecting large-scale AI platforms, integrating LLMs, and designing multi-agent systems.
 </li>
 <li>
 Strong proficiency in Python and deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers).
 </li>
 <li>
 Expertise in LLMs (e.g., GPT, Claude, LLaMA), vector databases, and prompt engineering strategies.
 </li>
 <li>
 Hands-on experience with agentic frameworks (e.g., LangChain Agents, AutoGPT, OpenAgents, CrewAI) and orchestration of autonomous agents.
 </li>
 <li>
 Deep knowledge of planning, reasoning, and decision-making architectures for autonomous systems.
 </li>
 <li>
 Experience in cloud-native AI architecture on Azure, including Azure ML/AI platform, Copilot Studio, and Azure Foundry.
 </li>
 <li>
 Strong background in containerization and orchestration (Docker, Kubernetes) for scalable AI deployments.
 </li>
 <li>
 Familiarity with reinforcement learning, symbolic reasoning, and neuro-symbolic AI approaches.
 </li>
 <li>
 Experience with real-time data processing, event-driven architectures, and MLOps best practices for production-grade AI systems.
 </li>
 </ul>
</div>

Senior Manager - AI & ML

Etera Technologies FZCO

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.</li>
<li>4&ndash;5 years of experience building production-grade AI/ML or software systems.</li>
<li>Strong programming experience with Python, Node.js and Bun.</li>
<li>Experience with at least one additional backend language or runtime (e.g., TypeScript, Go, Java).</li>
<li>Hands-on experience with LLMs, NLP, or modern transformer architectures.</li>
<li>Experience building or integrating chat interfaces or conversational AI systems.</li>
<li>Dubai-based candidates preferred.</li>
</ul><h3 class="jobSectionHeader">Preferred qualifications:</h3><ul>
<li>5+ years of experience with data structures, algorithms, and scalable system design.</li>
<li>Experience architecting AI/ML flows, multi-agent systems, or agentic reasoning pipelines.</li>
<li>Experience with RAG, CAG, or hybrid retrieval-based reasoning.</li>
<li>Experience with vector databases (Qdrant, Pinecone, Weaviate, Redis) and large-scale embedding systems.</li>
<li>Experience with ML Ops workflows &mdash; monitoring, versioning, model lifecycle, automated evaluation.</li>
<li>Experience training or fine-tuning LLMs or domain-specific models.</li>
<li>Experience with multimodal models (vision + language).</li>
<li>Deep expertise in prompt engineering, context engineering, evaluation strategies, safety guardrails, and fallback design.</li>
<li>Understanding of Responsible AI, hallucination prevention, and high-reliability conversational systems.</li>
<li>Track record of using AI coding tools (Cursor, OpenAI, Claude, etc.) to accelerate development.</li>
<li>Experience in travel tech, hospitality, e-commerce, or search-heavy consumer products.</li>
</ul><h3 class="jobSectionHeader">
About the Role</h3>
Etera is building the future of intelligent travel &mdash; where conversation becomes the interface, planning becomes seamless, and discovery feels personal and intuitive.
As a dedicated AI Engineer, you&rsquo;ll architect and implement the intelligence systems that shape Etera&rsquo;s conversational experiences: multi-agent reasoning flows, retrieval pipelines, memory layers, safety mechanisms, and ML Ops foundations. You&rsquo;ll work with autonomy across model selection, infrastructure choices, and workflow design &mdash; in a model-agnostic environment that uses whichever tools deliver the best outcomes (OpenAI, Anthropic, or open-source).
This role requires both depth and creativity. You&rsquo;ll push the boundaries of retrieval-augmented reasoning, multimodal intelligence, context optimization, and real-time conversational UX. You&rsquo;ll collaborate closely with backend, product, design, and search teams to create flows that feel natural, intelligent, and deeply human.
The space is expanding rapidly, and you will help define the intelligence layer powering a new era of AI-driven travel.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Architect and scale Etera&rsquo;s multi-agent intelligence system for real-time recommendations, decision-making, and bookings.</li>
<li>Build advanced RAG/CAG frameworks, retrieval pipelines, and context-aware reasoning flows optimized for chat.</li>
<li>Develop the knowledge architecture for global venues &mdash; embeddings, vector search, ranking, and personalization.</li>
<li>Apply expert-level prompt engineering, context engineering, safety techniques, and evaluation methods across all conversational flows.</li>
<li>Train or fine-tune models where appropriate and design automated evaluation systems (LLM-as-judge, regression detection, human-in-the-loop).</li>
<li>Implement safety layers to prevent incorrect details, wrong availability, or booking errors &mdash; including deterministic fallback flows and confidence scoring.</li>
<li>Collaborate with backend, product, and UX teams to design intuitive conversational flows, API contracts, and human-like interactions.</li>
<li>Build and maintain end-to-end ML Ops pipelines &mdash; ingestion, monitoring, versioning, automated evaluation, and CI/CD for agentic systems.</li>
<li>Establish engineering best practices and contribute to the long-term architecture of Etera&rsquo;s AI systems. 
</li></ul><h3 class="jobSectionHeader">Why Etera</h3><ul>
<li>You&rsquo;ll own the intelligence layer of a product built to transform how people explore the world.</li>
<li>You&rsquo;ll define the architecture for AI reasoning, retrieval, safety, and multi-agent orchestration.</li>
<li>You&rsquo;ll work with a team that values craftsmanship, creativity, and building technology that feels human.</li>
<li>You&rsquo;ll help shape a new category of AI-powered travel discovery.</li></ul></div>

AI Engineer

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 
 
 
 
 
 Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 
 
 
 
 
 ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <ul>
 <li>
 Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
 </li>
 <li>
 Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
 </li>
 <li>
 Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
 </li>
 <li>
 Work with modern AI tools such as
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
 </li>
 <li>
 Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
 </li>
 <li>
 Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
 </li>
 <li>
 Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </li>
 <li>
 Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
 </li>
 <li>
 Proficiency in data manipulation using tools such as
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </li>
 <li>
 Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
 </li>
 <li>
 A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
 </li>
 </ul>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 to connect AI models with live enterprise data sources.
 </li>
 <li>
 Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
 
 
</div>

Dautom

<div>
 
 Hiring for AI Infrastructure Engineer in Dubai for Semi Govt Client
 
 
 Years : 6 Years
 
 
 Location : Dubai ( Looking for UAE Based candidates )
 
 
 Reports To: Head of Infrastructure / AI Platform Lead
 
 
 
 
 
 Job Summary :
 
 
 Design, build, and operate scalable GPU-based AI infrastructure to support LLMs, GenAI, computer vision, and ML workloads. Manage GPU clusters, deploy OpenShift AI, and ensure high-performance, secure AI platforms across hybrid cloud environments.
 
 
 
 
 
 Key Responsibilities:
 
 
 Deploy and maintain Red Hat OpenShift AI (RHODS) for multi-tenant AI environments.
 
 
 Host and scale #LLM frameworks (Llama, Falcon, Mistral, etc.) and vector databases.
 
 
 Build MLOps pipelines for model training, deployment, and monitoring using Terraform/Ansible.
 
 
 Implement hybrid AI solutions across Sovereign Cloud, Azure AI, and Oracle Cloud.
 
 
 Mandatory Skills &amp; Experience:
 
 
 7+ years in #cloudinfrastructure, DevOps, or AI/ML platform engineering.
 
 
 Hands-on experience with #NVIDIA#GPU clusters (CUDA, DNN, GPU operators, NCCL).
 
 
 Strong experience with OpenShift AI (RHODS)
 
 
 
 
 
 Key Deliverables:
 
 
 Production-ready #GPUclusters and #OpenShift #AIplatform.
 
 
 Scalable #LLM serving environment with #MLOps automation.
 
 
 Fully documented, secure, and compliant #AIinfrastructure.
 
 
 
 
 
 Share your word cv to Hema Javvadi with your CTC and Notice details : hema.j@dautom.com
 
</div>

AI Infrastructure Engineer

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 Principal Data Scientist &ndash; Cyber Security | Dubai
 
 
 
 
 
 We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
 
 Principal Data Scientist
 
 . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 
 
 
 
 
 You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
 
 AI, data, and cyber security
 
 , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
 </li>
 <li>
 Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
 </li>
 <li>
 Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
 </li>
 <li>
 Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
 </li>
 <li>
 Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 
 10+ years of experience
 
 in data science, machine learning, or applied AI, with a focus on hands-on technical work.
 </li>
 <li>
 Strong background in
 
 cyber security
 
 , ideally with experience in malware analysis, SOC operations, or threat intelligence.
 </li>
 <li>
 Proven record of building
 
 production-grade ML systems
 
 and data architectures.
 </li>
 <li>
 Advanced proficiency in
 
 Python
 
 ,
 
 TensorFlow/PyTorch
 
 , and distributed data technologies (Spark, Kubernetes, etc.).
 </li>
 <li>
 Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
 </li>
 <li>
 Strong communicator and problem-solver, able to operate both strategically and technically.
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Principal Data Scientist

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 Proficiency in Russian, Turkish is a plus.
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 <li>
 Proficiency in Russian, Turkish and Central Asian languages is a plus.
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer

Explore 3421+ Ai ml data engineer in House Counsel Jobs In Dubai this December. Find roles across top companies and apply now to boost your career.

3421 ai ml data engineer jobs IN House Counsel Jobs In Dubai

AI/ML Data Engineer

Senior Manager - AI & ML

AI Engineer

AI Engineer

AI Infrastructure Engineer

Principal Data Scientist

Machine Learning Engineer