civil engineer

electrical engineer

civil site engineer

mechanical engineer

project engineer

ai engineer

Printerpix

<div><div>Printerpix is a fast-growing e-commerce brand making waves in the online photo printing and personalised gifting sector. Our team is growing rapidly as we expand into new marketing channels and new markets, and we need you to help us achieve our goals. This is your opportunity to join a fast-paced organisation that&rsquo;ll give you the chance to take on responsibility and progress your career quickly. 
</div><div>
At Printerpix, we&rsquo;re there for the milestones and the everyday. From a blanket printed with your family photos, to a photobook full of your greatest moments, bringing joy is what we do best. 
</div><div>
The Role: 
We&rsquo;re looking for a self-starting AI Engineer to join our Dubai team and build the intelligent systems that power our marketing. You&rsquo;ll architect agentic workflows that automate digital marketing across paid search, organic search, email, social media, and affiliate channels, driving measurable e-commerce growth across 9 international markets. This isn&rsquo;t a role where you wait for a ticket. You&rsquo;ll work alongside a small, fast-moving AI team that spots opportunities, prototypes solutions, and ships them. 
</div><div>
What You'll Do:</div><ul><li>
Design and build AI-powered workflows that automate marketing operations across paid search, SEO, email, social, and affiliate channels.</li><li>
Develop multi-agent systems and copilots for campaign planning, content generation, data analysis, and performance optimisation.</li><li>
Integrate AI systems with marketing platforms (Google Ads, Klaviyo, Meta, Search Console) via APIs for real-time data flow and automated decision-making.</li><li>
Build and maintain RAG pipelines connecting AI agents to company knowledge, product catalogues, and performance data.</li><li>
Collaborate with London team to identify and deliver high-impact automation.</li></ul><div>
</div><div>
What We're Looking For:</div><ul><li>
Experience with agentic AI frameworks (CrewAI, LangChain, LangGraph, or similar), you&rsquo;ve designed agents, defined tools, and built multi-step workflows.</li><li>
Hands-on experience building RAG pipelines including embedding models, chunking strategies, and vector databases (Pinecone, Chroma, FAISS).</li><li>
Strong Python skills, you write production code, not just notebook experiments.</li><li>
Experience with LLM APIs (OpenAI, Claude, Gemini, Mistral) including prompt engineering and structured output parsing.</li><li>
Ability to build API integrations and event-driven pipelines connecting marketing platforms and business systems.</li><li>
Understanding of digital marketing channels: Paid Search (Google Ads), SEO, Email Marketing, Social Media, and Affiliate.</li><li>
Self-starter mentality, you identify problems and build solutions without being asked. Show us what you&rsquo;ve built that nobody asked you to build.</li></ul><div>
 
Nice to have: MCP (Model Context Protocol), AI-assisted dev tools (Claude Code, Cursor, Copilot), Docker/CI/CD, e-commerce operations, or marketing platform API experience (Google Ads, Klaviyo, Meta, GA4). 
</div><div>
What You Get:</div><ul><li>
Modern tech stack, Claude Code, Cursor, CrewAI, LangChain, and the latest AI models.</li><li>
Small, high-output team where your ideas ship fast and your contributions are visible from day one.</li><li>
Real impact, AI you build directly drives marketing performance and revenue across 9 markets.</li><li>
Career growth, mentorship, and the opportunity to lead AI initiatives in a multinational enterprise.</li></ul><div>
 
APPLY NOW &mdash; BUILD THE AI THAT POWERS GLOBAL MARKETING 
 
Ahead of your interview, please be prepared to walk us through an AI project you&rsquo;ve built end-to-end, your architecture decisions, and something you built because you saw the opportunity, not because you were asked to.\</div></div>

AI Engineer (Marketing)

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li><li>
Managing a cross functional team (pod) made of middleware (JS), foundation (C++), QA and documentation engineers to produce high quality deliverables</li><li>
Regularly assessing, both qualitatively and quantitatively, our position in the market with regards to similar products or platforms</li><li>
Leveraging the expertise of technical architects to ensure robust architectural choices and code quality</li><li>
Ensuring stable releases by following precise internal release processes</li></ul><ul><li>
Excellent programming skills C++</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion Models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
Has experience managing a small, specialized, cross functional team (pod) of 3-5 people</li><li>
Has a genuine passion for building good products that improve people's lives</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have extensive experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Lead AI Inference Engineer (100% Remote)

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul><li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li><li>
GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li><li>
Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li><li>
Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li><li>
DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li><li>
Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li><li>
Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
The key requirements for this role are:<ul><li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li><li>
Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li><li>
Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li><li>
Advanced coding skills in Python and JavaScript/TypeScript.</li><li>
Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li></ul>
You should also have the following:<ul><li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li><li>
A minimum of 5+ years in professional software development.</li><li>
Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li><li>
Advanced knowledge of banking operations, terminologies, and financial services products.</li></ul>
It would be preferable if you also have:<ul><li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li><li>
Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li><li>
The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li><li>
The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</li></ul> 

Benefits 
Benefits &amp; Growth Opportunities:<ul><li>
Competitive salary.</li><li>
Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li><li>
Opportunity to work on cutting-edge AI projects.</li><li>
Career advancement opportunities in a rapidly growing AI company.</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Backend Engineer

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 We are looking for a
 
 Sr. AI Engineer
 
 to join our
 
 GenAI Squad
 
 , your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as
 
 data enrichment, smart content understanding
 
 , and
 
 automated decision-making
 
 to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 5+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator, and communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Sr. Data Scientist, Algorithms, GenAI

Oracle

<div>Qualifications &amp; Experience
<ul><li>8+ years of total experience, with 4+ years in AI/ML Engineering roles.
</li><li>Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
</li><li>Proven track record in Generative AI, LLMs, NLP, and AI agent development.
</li><li>Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
</li><li>Experience fine-tuning LLMs for domain-specific applications (e.g., Q&amp;A systems, auto-documentation, predictive insights).
</li><li>Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
</li><li>Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
</li><li>Familiar with MLOps, model governance, and CI/CD for ML workflows.</li></ul></div>
 <div>Key Responsibilities
<ul><li>Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
</li><li>Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
</li><li>Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
</li><li>Mentor teams on solution design, best practices, and delivery excellence for AI projects.
</li><li>Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
</li><li>Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
</li><li>Lead solution estimation, technical governance, and program oversight.
</li><li>Contribute to GTM initiatives, including customer-facing demos and proposal development.
</li><li>Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
</li>Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement. 
<li>
</li></ul><div></div>Core Competencies &amp; Technical Expertise
<ul><li>Enterprise Architecture &amp; AI Strategy
</li><li>Application Development (with focus on integrating AI into existing stacks)
</li><li>Multi-cloud &amp; Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
</li><li>AI/ML Security &amp; Compliance
</li><li>DevOps &amp; Agile AI Delivery
</li><li>Integration &amp; Data Engineering Strategy
</li><li>Stakeholder Engagement &ndash; including Executive Leadership
</li><li>Program Oversight &amp; Governance
</li><li>Solution Design, Proposals, and Estimates
</li><li>Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.</li></ul></div>

Principal AI Architect – GenAI, LLMs & AI Agents

Transguard Workforce Solutions

<div>
 
 Transguard Workforce Solutions is the UAE&rsquo;s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.
 
 
 We are currently recruiting for an
 
 Data Scientist - Machine Learning
 
 for our client to be based out of their Dubai office.
 
 
 
 
 
 
 Job Purpose
 
 
 
 The role is responsible for designing, developing, and productionizing AI/ML models that deliver measurable business impact. It owns the full lifecycle from framing business problems and shaping datasets to model training, deployment with MLOps best practices, and postlaunch monitoring. The role ensures models are accurate, reliable, and aligned with business objectives, while translating complex business requirements into actionable AI solutions and promoting transparency across key processes and performance indicators.
 
 
 
 
 
 
 Responsibilities
 
 
 
 &bull; Design, train, validate, and deploy advanced ML/DL models (NLP, CV, transformers, statistical learning).
 
 
 &bull; Optimize models for accuracy, scalability, and latency to ensure production readiness.
 
 
 &bull; Apply Responsible AI principles, including fairness, bias detection, and explainability.
 
 
 &bull; Build and manage pipelines, feature stores, and ingestion frameworks (real-time and batch).
 
 
 &bull; Implement MLOps practices: CI/CD workflows, registries, automated retraining, and observability. &bull; Monitor and resolve issues related to data drift, leakage, and model reliability
 
 
 &bull; Ensure compliance with GDPR, ISO standards, ICAO digital/AI frameworks, and organizational policies.
 
 
 &bull; Promote transparency of AI-driven KPIs and processes across the enterprise.
 
 
 &bull; Conduct fairness audits, model explainability, and ethical risk assessments.
 
 
 &bull; Translate complex, ambiguous business challenges into AI/ML opportunities.
 
 
 &bull; Define scope, feasibility, and expected value of AI initiatives.
 
 
 &bull; Advise stakeholders on risks, trade-offs, and adoption strategies.
 
 
 
 
 
 
 
 
 
 Professional Certification Requirements:
 
 Professional certification in Machine Learning (preferred)
 
 
 
 Relevant Experience (Years):
 
 5-6 Years
 
 
 
 
 
 
 Skills, Tools, and Systems Experience:
 
 
 
 &bull; Programming &amp; Data Science: Python, R, SQL, StreamLit
 
 
 &bull; ML &amp; AI Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face
 
 
 &bull; MLOps &amp; Deployment: Docker, Kubernetes, Git CI/CD
 
 
 &bull; Data Engineering: Apache Spark, Kafka, dbt
 
 
 &bull; Cloud Platforms: Azure ML
 
 
 &bull; Visualization: Power BI, Tableau
 
 
 &bull; Responsible AI Tools: AI Governance Platform (e.g. Atlan)
 
</div>

Data Scientist - Machine Learning

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
 
 
 
 As a Staff Data Scientist I &ndash; ETA, you will own the end-to-end ETA prediction systems for Careem&rsquo;s Food and Groceries verticals. This is a highly technical Individual Contributor role with full domain ownership across architecture, modeling strategy, experimentation, production deployment, and operational excellence.
 
 
 You will define the long-term vision for ETA systems in high-load, latency-sensitive marketplace environments. You will design and implement multi-stage stochastic pipelines that model preparation time, assignment delay, pickup time, travel time, batching, and pooling effects delivering reliable, calibrated predictions at scale. This role requires deep expertise in time-series forecasting, deep learning, and operations research combined with strong production experience in distributed and real-time systems. You will collaborate closely with Product, Engineering, Marketplace, and Operations leaders, ensuring ETA becomes a core competitive advantage in Careem&rsquo;s Everything App.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 ETA Vision &amp; Architecture Ownership
 </li>
 <li>
 Define and own the long-term technical vision for ETA systems across Food and Groceries.
 </li>
 <li>
 Architect scalable, multi-stage pipelines.
 </li>
 <li>
 Design probabilistic and stochastic modeling approaches with uncertainty calibration and reliability guarantees.
 </li>
 <li>
 Establish modeling standards and best practices for ETA across the organization.
 </li>
 <li>
 Advanced Modeling &amp; Algorithm Development
 </li>
 <li>
 Develop and deploy production-grade ML systems leveraging:
 </li>
 <ul>
 <li>
 Deep learning architectures
 </li>
 <li>
 Time-series forecasting
 </li>
 <li>
 Graph-based and routing-aware models
 </li>
 <li>
 Operations research techniques
 </li>
 </ul>
 <li>
 Build models robust to marketplace volatility and supply-demand shifts.
 </li>
 <li>
 Optimize for both point accuracy and distributional correctness (confidence intervals, tail control).
 </li>
 <li>
 Continuously improve system performance under high traffic and low-latency constraints.
 </li>
 <li>
 Production Systems &amp; Real-Time Inference
 </li>
 <li>
 Design and deploy scalable real-time inference pipelines.
 </li>
 <li>
 Ensure model reliability, monitoring, alerting, and graceful degradation under load.
 </li>
 <li>
 Collaborate with Data Platform and ML Ops teams to productionize models using Spark, Trino, Python, and distributed frameworks.
 </li>
 <li>
 Lead model lifecycle management, retraining strategies, and performance tracking in live environments.
 </li>
 <li>
 Experimentation &amp; Marketplace Impact
 </li>
 <li>
 Define clear evaluation frameworks aligned with business metrics (conversion, cancellations, fulfillment efficiency, customer trust).
 </li>
 <li>
 Design and run controlled experiments to measure ETA improvements and marketplace impact.
 </li>
 <li>
 Drive measurable improvements in operational efficiency and user experience through data-driven insights.
 </li>
 <li>
 Technical Leadership &amp; Cross-Team Influence
 </li>
 <li>
 Lead cross-team architectural discussions.
 </li>
 <li>
 Conduct design reviews and raise the technical bar for modeling quality and system robustness.
 </li>
 <li>
 Mentor senior data scientists and engineers in advanced ML and modeling techniques.
 </li>
 <li>
 Contribute to Careem&rsquo;s applied AI community through technical talks, documentation, and research initiatives.
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 8+ years of experience in Applied Machine Learning or Data Science, with significant experience building large-scale production systems.
 </li>
 <li>
 Advanced degree in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field.
 </li>
 <li>
 Proven expertise in:
 </li>
 <ul>
 <li>
 Time-series forecasting
 </li>
 <li>
 Deep learning
 </li>
 <li>
 Stochastic modeling
 </li>
 <li>
 Operations research and optimization
 </li>
 </ul>
 <li>
 Strong experience building and deploying high-load, low-latency ML systems.
 </li>
 <li>
 Hands-on proficiency in Python, Spark and ML frameworks.
 </li>
 <li>
 Experience with real-time inference systems and model monitoring in production.
 </li>
 <li>
 Strong understanding of experimentation, A/B testing, and causal inference.
 </li>
 <li>
 Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Excellent communication skills and ability to translate complex modeling trade-offs into business impact.
 
 </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.
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 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
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 Explore new opportunities to learn and grow every day.
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 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. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
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 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
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Staff Data Scientist I - ETA

Explore 925+ Ai engineer in Dubai this March. Find roles across top companies and apply now to boost your career.