senior data scientist

data engineer

ai software engineer

junior ai business analyst

actuarial data scientist

associate principal engineer data scientist gen ai ml

Nagarro

<div>
 
 Company Description
 
 
 
 In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed.
 
 
 The nature of IT &amp; digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology &amp; business are heading. Thinking breakthroughs gets us there.
 
 
 Nagarro - https://www.nagarro.com/en
 
 
 
 Job Description
 
 
 
 
 Must have Skills : Generative AI Fundamentals (Strong), Technology Architect - Generative AI, LLM Application Frameworks (Strong), LLM Fine Tuning and Deployment (Strong), Prompt Engineering with LLMs (Strong)
 
 
 
 
 
 Job Description
 
 
 
 
 Data Scientist is expected design, develop, implement scalable ML, GenAI and Agentic AI solutions align with business goals, lead team and ensure code/delivery quality.
 
 
 Key responsibilities include create integration architectures, define standards that matches emerging GenAI trends to drive innovation, efficiency and competitive advantage, integrate AI/LLM Models into Applications/APIs, optimize workflows with GenAI tools, leading technical discussions and mentoring junior team members.
 
 
 The role also requires experience with backend development, APIs including RAG APIs, Vector databases, cloud platform, production grade solutions code quality &amp; security.
 
 
 
 Regular duties:
 
 
 
 <ul>
 <li>
 Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
 </li>
 <li>
 Work on integrating cloud with AI algorithms and On premises AI algorithms.
 </li>
 <li>
 Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
 </li>
 <li>
 Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.
 </li>
 <li>
 Optimize existing AI models for improved performance, scalability, and efficiency.
 </li>
 <li>
 Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
 </li>
 <li>
 Drive the team to build AI products and solutions, working in an agile methodology
 </li>
 <li>
 Manage delivery across pods building scalable AI and API services
 </li>
 <li>
 Run standups, sprints, retrospectives, and Jira workflows
 </li>
 <li>
 Drive backend deployment, security reviews, and QA pipelines
 </li>
 <li>
 Coordinate integration of RAG APIs and vector DB pipelines
 </li>
 <li>
 Promote use of code quality agents and modern CI/CD practices
 </li>
 <li>
 Collaborate with the Product Manager/Architect to define deliverables and technical strategy.
 </li>
 <li>
 Drive the integration of AI/ML capabilities into products using market trending libraries.
 </li>
 <li>
 Guide teams through refactoring and codebase optimization using AI-assisted insights.
 </li>
 <li>
 Troubleshoot and resolve issues related to AI models and implementations.
 </li>
 <li>
 Create and maintain documentation for AI models and their applications.
 </li>
 <li>
 Communicate complex technical concepts and findings to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 
 Skills And Qualifications
 
 
 
 
 <ul>
 <li>
 A masters/ bachelor degree in computer science engineering
 </li>
 <li>
 10 to 12 years experience in IT Industry and up to 3 years experience in GenAI, Agentic AI Solutioning and Implementation
 </li>
 <li>
 Minimum 2 Year experience in Datarobot for architecting and building GenAI Solutions RAG Agents and Deployment
 </li>
 <li>
 Mentor-first mindset, delivery-driven, team player, excellent communicator
 </li>
 <li>
 Access control, deployment integrity, secure endpoints, compliance awareness
 </li>
 <li>
 Cloud GenAI Solutions Design, Development and Deployment
 </li>
 <li>
 On-Premises GenAI Solutions Design, Development and Deployment
 </li>
 </ul>
</div>

Associate Principal Engineer (Data Scientist - Gen AI, ML)

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

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

Searchability®

<div>
 
 
 🖥️ Data Scientist 🖥️
 
 
 
 
 
 
 📍Based in
 
 Dubai!
 
 📍
 
 
 
 
 
 *Please note - the opportunity is only open to those who already reside in
 
 Dubai*
 
 
 
 
 
 
 
 
 
 💰 Salary on offer is between Dh 15,000-20,000 p/m 💰
 
 
 
 
 
 
 
 
 Searchability MENA is partnered with a leading
 
 FinTech
 
 organization, shaping the future of financial services through AI, ML, and advanced analytics.
 
 
 
 
 
 **Prior experience in delivering ML-driven analytics across lending, cards, customer lifecycle, and risk domains within FinTech or financial services is highly valued**
 
 
 
 
 
 Passionate about building ML models? - then look no further!
 
 
 
 
 
 Be part of a high-impact
 
 FinTech
 
 analytics team, deploying ML models and data products that directly drive growth, manage risk, and enhance customer experience.
 
 
 
 
 
 
 👀Here's what they're looking for: 👀
 
 
 
 
 
 <ul>
 <li>
 
 3+ years&rsquo;
 
 experience in Data Science.
 </li>
 <li>
 Python, R, and SQL.
 </li>
 <li>
 
 Machine Learning, statistical modelling, predictive &amp; prescriptive analytics.
 
 </li>
 <li>
 Experience in deploying end-to-end
 
 AI/ML models.
 
 </li>
 <li>
 Experience in a fast-paced/dynamic environment
 </li>
 <li>
 Cloud platforms, including AWS, Azure, and GCP, with big data experience.
 </li>
 <li>
 Experience in banking and financial services, spanning cards, lending, SME, digital channels, and risk.
 </li>
 <li>
 Ability to translate complex analytics into clear business recommendations.
 </li>
 </ul>
 
 
 
 
 
 🙌🏼 The benefits: 🙌🏼
 
 
 
 
 
 <ul>
 <li>
 Family Visa Sponsorship and Medical Cover
 </li>
 <li>
 Annual Flight Ticket
 </li>
 </ul>
 
 
 
 
 👆 Does this sound exactly like what you're looking for?
 
 
 Hit apply today, and we can discuss further 👆
 
 
 
 
 
 **Please note: Only suitable candidates will be contacted for this position.**
 
</div>

Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>

Lead Data Scientist

<div>
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Qualifications
 
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, AI, or Computer Science
 
 .
 </li>
 <li>
 4 to 6 years of experience is required,
 </li>
 <li>
 Strong record of
 
 production-grade ML/NLP projects
 
 .
 </li>
 <li>
 Experience leading
 
 small data science teams
 
 or research initiatives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Technical Requirements
 
 </li>
 <li>
 Deep expertise in
 
 model architecture design
 
 ,
 
 feature stores
 
 , and
 
 model monitoring
 
 .
 </li>
 <li>
 Experience in
 
 ensemble blending
 
 ,
 
 A/B testing
 
 , and
 
 model explainability
 
 (SHAP, LIME).
 </li>
 <li>
 Builds and fine-tunes
 
 transformer-based models
 
 for custom tasks (summarization, Q&amp;A, document intelligence).
 </li>
 <li>
 Implements
 
 RAG (Retrieval-Augmented Generation)
 
 and
 
 embedding-based semantic search
 
 .
 </li>
 <li>
 Integrates
 
 vector databases
 
 (Pinecone, FAISS, Chroma).
 </li>
 <li>
 Uses
 
 LangChain or LlamaIndex
 
 for orchestration.
 </li>
 <li>
 Evaluates and optimizes
 
 prompt templates
 
 and
 
 context length efficiency
 
 .
 </li>
 <li>
 Designs
 
 data pipelines
 
 (Airflow, Spark, Dataiku).
 </li>
 <li>
 Deploys
 
 scalable APIs
 
 , manages
 
 CI/CD
 
 ,
 
 monitoring
 
 , and
 
 drift detection
 
 .
 </li>
 <li>
 Works closely with product and engineering teams to embed AI in production systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Leadership &amp; Soft Skills
 
 </li>
 <li>
 Leads small teams or workstreams.
 </li>
 <li>
 Ensures project quality, deadlines, and alignment with business KPIs.
 </li>
 <li>
 Coaches mid-level team members and contributes to talent development.
 </li>
 </ul>
</div>

Senior Data Scientist

Envision Employment Solutions is currently looking for a Senior Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
 
Requirements: 
<ul>
<li>Qualifications</li>
<li>Bachelor’s or Master’s degree in Data Science, AI, or Computer Science.</li>
<li>4 to 6 years of experience is required,</li>
<li>Strong record of production-grade ML/NLP projects.</li>
<li>Experience leading small data science teams or research initiatives.</li>
<li>Technical Requirements</li>
<li>Deep expertise in model architecture design, feature stores, and model monitoring.</li>
<li>Experience in ensemble blending, A/B testing, and model explainability (SHAP, LIME).</li>
<li>Builds and fine-tunes transformer-based models for custom tasks (summarization, Q&A, document intelligence).</li>
<li>Implements RAG (Retrieval-Augmented Generation) and embedding-based semantic search.</li>
<li>Integrates vector databases (Pinecone, FAISS, Chroma).</li>
<li>Uses LangChain or LlamaIndex for orchestration.</li>
<li>Evaluates and optimizes prompt templates and context length efficiency.</li>
<li>Designs data pipelines (Airflow, Spark, Dataiku).</li>
<li>Deploys scalable APIs, manages CI/CD, monitoring, and drift detection.</li>
<li>Works closely with product and engineering teams to embed AI in production systems.</li>
<li>Leadership & Soft Skills</li>
<li>Leads small teams or workstreams.</li>
<li>Ensures project quality, deadlines, and alignment with business KPIs.</li>
<li>Coaches mid-level team members and contributes to talent development.</li>
</ul>

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Associate Principal Engineer (Data Scientist - Gen AI, ML)

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Lead Data Scientist

Senior Data Scientist

Senior Data Scientist