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applied ai engineer

Deriv

<div>
 
 The challenge
 
 
 You&rsquo;re leaving the safety of Jupyter notebooks to wrestle with the tension of stochastic models in a deterministic financial world. You&rsquo;ll encounter a codebase processing millions of transactions where "it works on my machine" is not a valid defence, bridging the gap between tutorial implementations and high-scale systems to build co-intelligence that decides and executes without a human holding its hand.
 
 
 See what we&rsquo;re shipping at Deriv.
 
 
 
 Why this matters
 
 
 
 
 
 Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders, around the clock. This scale demands AI that works in production, not prototypes that demo well.
 
 
 We're already here: AI resolving 65%+ of customer enquiries, writing and reviewing code, processing invoices, and screening candidates. Not experiments. Production systems you'll help extend.
 
 
 
 Why Deriv
 
 
 Learn by building, not by watching. Here's where you'll do it:
 
 
 <ul>
 <li>
 Customer experience: Building AI that handles conversation, outreach, and lifecycle management.
 </li>
 <li>
 Developer infrastructure: Building the systems that build systems (Spec-to-PR, QA automation, security scanning).
 </li>
 <li>
 Business functions: Building the AI that runs Deriv (finance workflows, HR automation).
 
 
 </li>
 </ul>
 Your placement depends on team needs and your interests. You'll likely focus on one area but touch several, with real ownership and support along the way.
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Build features that go to production: You won't just write scripts; you'll ship code that runs in live environments.
 </li>
 <li>
 Work across three paradigms: You'll learn to combine deterministic systems (code), predictive models (ML), and agentic systems (LLMs).
 </li>
 <li>
 Learn from failure: You'll understand why guardrails matter when a 1% error rate means thousands of wrong decisions.
 </li>
 <li>
 Pair with experienced engineers: You'll own small features end-to-end with guidance from senior mentors.
 
 
 </li>
 </ul>
 
 Who you are
 
 
 <ul>
 <li>
 You write code that runs: Python or another language you genuinely enjoy. You know syntax is easy; making things work in production is where it gets interesting.
 </li>
 <li>
 You've touched ML or LLMs: Courses, side projects, experiments. Enough to know what you don't know yet.
 </li>
 <li>
 You deliver reliably: You distinguish urgent from important and keep your promises on delivery dates.
 </li>
 <li>
 You're comfortable being wrong: You'll ship code that breaks. That's how you learn&mdash;if you can admit it and fix it.
 
 
 </li>
 </ul>
 
 Tech stack
 
 
 <ul>
 <li>
 Languages: Python, TypeScript
 </li>
 <li>
 AI/ML: OpenAI APIs, Anthropic APIs, LangGraph, Custom ML Pipelines
 </li>
 <li>
 Infrastructure: AWS, PostgreSQL, Redis, Docker, LangFuse
 
 
 </li>
 </ul>
 
 The honest reality
 
 
 This is demanding work. You'll face problems without clear answers. You'll ship code that breaks and fix it under pressure. Some weeks will be frustrating.
 
 
 But you'll ship AI that runs&mdash;not demos, not prototypes. You'll see your work handling real transactions. And you'll grow fast.
 
 
 
 
 
 
 
 
</div>

Applied AI Engineer

Salient Group

<div>
 
 
 AI / ML Engineer
 
 
 
 
 Dubai, UAE
 
 
 
 
 $220k-$250k + Equity
 
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 40+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an
 
 AI/ML Engineer
 
 , you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Machine Learning Engineer

Fortes Education

Job
 Description: AI Engineer – Open Source LLMs & AI Integration
 
We are looking for a hands-on AI Engineer with deep expertise in open-source,
 open-weight large language models (LLMs) and end-to-end software
 integration. This role is ideal for someone excited to build
 production-ready AI systems across education, fintech, and business
 automation.
 
As part of our innovation-driven team, you’ll work on projects ranging from:
 <ul>
<li>Building personal AI tutors for students and teachers in schools</li>
<li>Designing AI-powered payments & fintech platforms</li>
<li>Automating workflows for brick-and-mortar businesses (AI agents</li>
</ul>
handling outbound lead nurturing calls, follow-ups, and sales closure)
 
Key Responsibilities
 <ul>
<li>Fine-tune and optimize open-source/open-weight models (LLaMA,</li>
</ul>
Mistral, Falcon, etc.) for real-world use cases
 <ul>
<li>Integrate models with applications, APIs, and databases to deliver</li>
</ul>
scalable AI solutions
 <ul>
<li>Develop and deploy AI agents for tasks such as tutoring, lead</li>
</ul>
nurturing, and workflow automation
 <ul>
<li>Work with retrieval-augmented generation (RAG) pipelines, vector</li>
</ul>
databases, and orchestration frameworks (LangChain, LlamaIndex)
 <ul>
<li>Collaborate with cross-functional teams to design production-ready AI</li>
</ul>
workflows
 <ul>
<li>Stay ahead of new advancements in AI/ML, generative AI, and agent</li>
</ul>
frameworks
 
Core Technical Skills
 <ul>
<li>LLM Fine-Tuning & Optimization: Hugging Face, PyTorch,</li>
</ul>
TensorFlow, LoRA, PEFT
 <ul>
<li>AI Agent Frameworks: LangChain, LlamaIndex, AutoGen, SmolAgents</li>
<li>Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB</li>
<li>Programming: Python (expert), JavaScript/TypeScript (bonus)</li>
<li>DevOps & Cloud: Microsoft Azure, Docker, Kubernetes, CI/CD, Git</li>
<li>Workflow Automation: API integration, microservices, REST/GraphQL</li>
<li>Databases: PostgreSQL, NoSQL, Redis</li>
</ul>
Ideal Candidate
 <ul>
<li>Proven experience training/fine-tuning LLMs and deploying them in</li>
</ul>
production
 <ul>
<li>Strong background in software engineering (microservices, APIs, web</li>
</ul>
integrations)
 <ul>
<li>Familiarity with AI for education, fintech, or workflow automation</li>
<li>Entrepreneurial mindset with the ability to take projects from concept</li>
</ul>
to deployment
 <ul>
<li>Excited to experiment, innovate, and push the boundaries of applied AI</li>
</ul>
Location & Opportunity
 <ul>
<li>Based in Dubai, with projects spanning global education, fintech, and</li>
</ul>
enterprise automation
 <ul>
<li>Be part of a fast-moving, innovative team shaping the future of</li>
</ul>
AI-driven businesses
 
If you’re passionate about building real-world
 AI systems that make an impact — from classrooms to financial platforms to
 local businesses — we’d love to hear from you.
 
Apply now and let’s build the future of AI together.
 
Interested candidates can apply on our website: 
http://www.fortes.co/Careers

AI Engineer – Open Source LLMs & AI Integration

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 The
 
 Director of Data Science (ML)
 
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 
 
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Strategic Leadership
 </li>
 <li>
 Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
 </li>
 <li>
 Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
 </li>
 <li>
 Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
 </li>
 <li>
 Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
 </li>
 <li>
 Team Leadership &amp; Development
 </li>
 <li>
 Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
 </li>
 <li>
 Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
 </li>
 <li>
 Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
 </li>
 <li>
 Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
 </li>
 <li>
 Technical &amp; Operational Excellence
 </li>
 <li>
 Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
 </li>
 <li>
 Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
 </li>
 <li>
 Define and oversee the technical AI roadmap and direction for the team.
 </li>
 <li>
 Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
 </li>
 <li>
 Champion MLOps and automation to reduce experimentation-to-production cycle time.
 </li>
 <li>
 Product Impact &amp; Delivery
 </li>
 <li>
 Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
 </li>
 <li>
 Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
 </li>
 <li>
 Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
 </li>
 <li>
 Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
 </li>
 <li>
 Cross-Functional Influence
 </li>
 <li>
 Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
 </li>
 <li>
 Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
 </li>
 <li>
 Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
 </li>
 <li>
 Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
 </li>
 <li>
 Advanced degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Demonstrated ability to translate complex ML concepts into strategic business impact.
 </li>
 <li>
 Strong stakeholder management and communication skills across technical and non-technical domains.
 </li>
 <li>
 Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Director of Data Science

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Data Scientist

Keystone AI

<div>
 
 About Keystone AI
 
 
 
 For more than two decades, Keystone AI has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation.
 
 
 Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That&rsquo;s what we call our &ldquo;Triad of Skills." Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.
 
 
 As we rapidly expand globally, we are redefining what a consulting firm can be.
 
 
 
 Economic, Technology, and Strategy Advisory (ETSA)
 
 
 
 Keystone&rsquo;s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high-stakes business, legal, and technology challenges.
 
 
 
 What We Do
 
 
 
 ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high-stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients
 
 
 
 How We Operate
 
 
 
 Our tech-native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in-depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.
 
 
 
 Who We Serve
 
 
 
 Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.
 
 
 
 Our practice areas
 
 
 
 <ul>
 <li>
 Antitrust &amp; Competition
 </li>
 <li>
 Financial Economics, Tax, and Securities (FETS)
 </li>
 <li>
 Intellectual Property (IP)
 </li>
 <li>
 Information Strategy, Risk and Regulation (ISRR)
 </li>
 <li>
 Healthcare and Life Sciences
 </li>
 <li>
 Technical Investigations
 </li>
 <li>
 Behavioral Insights
 </li>
 <li>
 Strategy Consulting
 
 
 </li>
 </ul>
 
 Staff Data Scientist
 
 
 
 As a Staff Data Scientist, you will be a senior member of the ETSA Technical Investigations practice, leading the design and application of advanced analytics and machine learning to high-impact client engagements. You will combine technical depth with business insight, guiding both the development of models and the interpretation of their results within complex regulatory and economic contexts.
 
 
 
 Role Expectations
 
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Lead the design and implementation of analytical solutions, from data architecture to model deployment
 </li>
 <li>
 Apply statistical, econometric, and machine learning techniques to generate insights in areas such as AI risk, digital forensics, and competition analysis
 </li>
 <li>
 Build, test, and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects
 </li>
 <li>
 Collaborate with consultants, economists, and legal experts to translate technical findings into strategic recommendations
 </li>
 <li>
 Serve as a technical advisor on engagements involving advanced data, AI, and digital transformation topics
 </li>
 <li>
 Mentor and guide junior engineers and data scientists in best practices for modeling, code development, and experimental design
 </li>
 <li>
 Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability
 </li>
 <li>
 Engage in knowledge-building initiatives that strengthen Keystone&rsquo;s global AI and data science community
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Advanced graduate degree (PhD or Master&rsquo;s) in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical field
 </li>
 <li>
 At least 6+ years of professional experience in data science, machine learning, or applied analytics roles
 </li>
 <li>
 Deep understanding of AI/ML, NLP, and data science methodologies with experience applying them in real-world or regulated domains
 </li>
 <li>
 Strong proficiency in Python, R, SQL, and familiarity with modern data science ecosystems (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI API)
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable data workflows (Airflow, dbt, Spark, BigQuery, Snowflake)
 </li>
 <li>
 Ability to manage multiple analytical workstreams and communicate complex findings clearly to technical and non-technical audiences
 </li>
 <li>
 Proven leadership in guiding diverse technical teams and driving innovation in data-driven problem solving
 </li>
 <li>
 A balance of technical excellence, intellectual curiosity, and entrepreneurial spirit suited to a fast-moving, global consulting environment Why Keystone AI
 
 
 </li>
 </ul>
 
 Why Keystone AI
 
 
 
 Join a fast-growing, tech-enabled consulting firm that partners with the world&rsquo;s leading companies on their most critical challenges and biggest opportunities.
 
 
 <ul>
 <li>
 Work on frontier matters shaping the future of AI, data, and digital regulation
 </li>
 <li>
 Collaborate with leading academics and experts from institutions such as Harvard, Stanford, MIT, and Wharton
 </li>
 <li>
 Apply a unique blend of management science and computer science to real-world challenges across technology, litigation, policy, and strategy
 </li>
 <li>
 Thrive in a culture defined by collaboration, curiosity, and excellence - where your ideas have direct, tangible impact
 
 
 </li>
 </ul>
 Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.
 
 
 At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.
</div>

Staff Data Scientist

IneXa Technoloy Ltd

Change Management Specialist &ndash; AI-Enabled Software Factory (Iraq)Role OverviewWe are seeking a Change Management Specialist to support the establishment and adoption of an AI-enabled Software Factory.This role will help transition development teams from traditional, siloed delivery to a modern, product-centric, AI-assisted software factory model, aligned with certain change frameworks.The specialist will work closely with engineering leadership, HR, delivery managers, and platform teams to ensure sustainable adoption of new ways of working.Key ResponsibilitiesChange Management &amp; Adoption<ul><li>Lead change initiatives supporting the rollout of an AI Software Factory operating model</li><li>Apply the change model to drive adoption across engineering and delivery teams</li><li>Manage stakeholder alignment, communication, and resistance to change</li><li>Enable smooth transition from As-Is &rarr; To-Be delivery models</li></ul>Software Factory Operating Model<ul><li>Support definition, rollout, and adoption of factory roles and responsibilities, including:</li><li>Product Owner / Product Manager</li><li>Business Analyst / Requirements Engineer</li><li>Solution &amp; Enterprise Architect</li><li>Software Engineer</li><li>QA / Test Engineer</li><li>DevOps Engineer</li><li>Security &amp; Compliance Roles</li><li>AI / Automation Engineers</li><li>Delivery Manager / Scrum Master</li><li>Platform &amp; Tooling Owners</li><li>Align teams to standardised factory processes, governance, and delivery flows</li></ul>HR &amp; Process Enablement<ul><li>Support HR in aligning job descriptions, responsibilities, and career paths with the new factory model</li><li>Enable adoption of Agile, DevOps, CI/CD, and AI-assisted development practices</li><li>Ensure documentation is structured and maintained in Confluence</li></ul>Required Experience<ul><li>Strong background in change management for software delivery organizations</li><li>Demonstrated experience implementing the change model</li><li>Experience working within software factories, delivery hubs, or large digital transformation programs</li><li>Understanding of AI-enabled development environments is a strong plus</li><li>Ability to work across technical and non-technical stakeholders</li></ul>Location &amp; Language<ul><li>Must be based in Iraq or able to travel to Iraq on a weekly basis</li><li>Arabic and English required</li></ul>Contract Details<ul><li>Duration: Initial 3-month contract with potential for long term</li><li>Start: 4th of January 2026</li><li>On-site / Hybrid</li></ul>Job Types: Full-time, Contract Contract length: 3 monthsPay: AED7,500.00 - AED18,500.00 per monthWork Location: In personExpected Start Date: 05/01/2026

Change Management Specialist – AI-Enabled Software Factory

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