confirmed product manager (b2b saas data & ai)

real estate agent

architect

architectural draftsman

full stack developer - ai

agent-front desk

ai architect genai llms ai agents

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>

AI Architect – GenAI, LLMs & AI Agents

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.
 
 
 
 
 
 The Mission
 
 
 
 We believe the transformative potential of AI is significantly under-realised in our region. To bridge this gap, we are incubating a new division within Careem dedicated to Enterprise AI Transformation.
 
 
 We are reimagining and building the future of work to simplify and improve how businesses function in the era of GenAI with WorkOS: a next-generation &lsquo;operating system&rsquo; designed to deploy, orchestrate, and improve AI agents across every customer and operational journey (and increasingly autonomously). This isn&rsquo;t just automation; it&rsquo;s about creating a hybrid workforce where self-learning AI agents handle the heavy lifting, empowering our people to focus on the highest-value, most creative work.
 
 
 
 The Team
 
 
 
 This group operates as a startup within Careem with a distinct mandate: move fast, build boldly, and deliver production-grade AI systems that fundamentally change how the region leverages technology.
 
 
 
 The Opportunity
 
 
 
 We are looking for an exceptional founding Full-Stack Engineer to build the WorkOS platform. This is a role for a systems-thinker who wants to work at the intersection of high-scale distributed systems and AI orchestration. You will be responsible for building the "brain" of WorkOS, the engine that deploys and manages autonomous agents across the region&rsquo;s most complex operational journeys at massive scale.
 
 
 As one of the first engineers in WorkOS, you will have a disproportionate impact on our technical foundation, culture, and the speed at which we move from 0 to 1
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect and Build the WorkOS Engine: Design and build the scalable backend services and frontend architectures required to orchestrate complex AI workflows and real-time data streaming.
 </li>
 <li>
 Define AI-Human Interaction: Partner with Design and Customers to create intuitive interfaces for "agentic" work, moving beyond static forms into dynamic, canvas-based, or generative UI powered by robust APIs.
 </li>
 <li>
 Full-Cycle Ownership: Own the lifecycle of the platform, from rapid prototyping of new agent capabilities to maintaining production-grade systems at enterprise scale.
 </li>
 <li>
 Drive AI-Accelerated Engineering: Constantly experiment with AI-assisted development to move faster than traditional teams, while maintaining a bar for superb technical quality and craft.
 </li>
 <li>
 Lead Pioneer Deployments: While building the core platform, you will occasionally lead the charge on first-of-their-kind implementations for strategic partners, ensuring our tech solves real-world operational complexity.
 </li>
 <li>
 Operate with High Agency: In this lean, startup-style environment, you will be responsible for outcomes over inputs, rolling your sleeves up to code and balancing investments in the long-term technical roadmap with the need to ship value quickly.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 8&ndash;12+ years of professional full-stack engineering experience: with a track record of acting as a technical lead or founding engineer in high-growth environments.
 </li>
 <li>
 Mastery of the modern stack: Deep expertise in frontend frameworks (React/TypeScript) paired with strong experience in backend languages (Node.js, Python, or Go) and distributed systems.
 </li>
 <li>
 AI-Native engineering mindset: Hands-on experience integrating LLMs, managing real-time streaming data, and building/consuming agentic frameworks and RAG architectures.
 </li>
 <li>
 End-to-End Architecture Skills: The ability to design modular, "platform-first" systems, from database schema and API design to reusable UI components.
 </li>
 <li>
 Obsession with Craft and Performance: A specialist's eye for creating fluid, "instant" user experiences and the backend efficiency required to support them.
 </li>
 <li>
 Startup-level Autonomy: Comfortable navigating a "0-to-1" environment where you define the technical roadmap and ship high-quality code without a playbook.
 </li>
 <li>
 Willingness to work on-site full time in UAE, to foster the high-intensity collaboration required for this incubation phase.
 </li>
 <li>
 Experience with enterprise software transformation or legacy system integration is a significant plus.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Receive
 
 
 
 <ul>
 <li>
 A Blank Canvas and Live Ammunition: The rare opportunity to build a "0-to-1" product while immediately deploying it into the real-world operations of a regional giant. No "sandbox" projects here, you&rsquo;ll be shipping code that moves people and goods on day one. This is a huge opportunity to create impact in our region.
 </li>
 <li>
 Architecting the Engine: We&rsquo;re a lean, impact-obsessed team operating with total autonomy. You&rsquo;ll be free from corporate bureaucracy and legacy baggage, focused entirely on building the core orchestration layer and agentic frameworks that will serve as the "brain" of the region&rsquo;s enterprises.
 </li>
 <li>
 Direct Collaboration with Leadership: Direct engagement with Careem and enterprise client leadership, in addition to working side-by-side with the WorkOS founding team including Magnus Olsson (Careem&rsquo;s original Co-founder).
 </li>
 <li>
 Competitive Compensation: Including direct equity in this new division. Our philosophy is meritocratic: we want you to own a meaningful stake in the value you create.
 </li>
 </ul>
</div>

Staff Full Stack Engineer

OneBullEx

<div><div>OneBullEx is transitioning into an AI exchange. As an AI Engineer in our Data &amp; AI department, you will not just manage tools; you will architect the autonomous systems that power our trading ecosystem. You will be responsible for deploying AI agents that can reason, execute code, and manage complex financial workflows with minimal human intervention.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li><div>Agentic System Development: Architect and deploy multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen to automate exchange operations (e.g., automated risk assessment, fraud detection, and 24/7 liquidity monitoring).</div>
</li><li><div>AI-Driven Software Engineering: Champion the use of Claude Code, OpenAI Codex, and Cursor to build and refactor exchange infrastructure. You are expected to use these tools to achieve a &quot;10x developer&quot; output, maintaining high-performance C++ or Python backends.</div>
</li><li><div>Protocol &amp; API Integration: Implement the Model Context Protocol (MCP) to allow AI agents to securely interact with our internal trading engines, real-time market data feeds, and third-party DeFi protocols.</div>
</li><li><div>Prompt Engineering &amp; Logic Tuning: Design sophisticated &quot;Chain-of-Thought&quot; and &quot;Plan-and-Execute&quot; reasoning paths to ensure agents remain reliable during high-volatility events in the crypto market.</div>
</li><li><div>Internal Tooling: Build custom internal AI dashboards that allow other departments (Risk, Ops, BD, Marketing etc.) to spin up their own specialized &quot;micro-agents&quot; for specific tasks.</div>
</li></ul><h3 class="jobSectionHeader">Candidate Requirements</h3>
<h4 class="jobSectionHeader">Technical Skills (The &quot;Must-Haves&quot;)</h4>
<ul><li><div>Latest AI Tooling: Deep, hands-on experience with Claude Code, Codex, and AI-native IDEs like Cursor.</div>
</li><li><div>Agentic Frameworks: Proven ability to build autonomous agents using LangGraph, AutoAgent, or Semantic Kernel.</div>
</li><li><div>Advanced Prompting: Mastery of ReAct, Few-Shot, and System Persona optimization to reduce hallucination in financial contexts.</div>
</li><li><div>Programming: Proficiency in Python (specifically for AI/ML libraries) and an understanding of Rust or Go (for high-frequency exchange environments).</div>
</li></ul><h4 class="jobSectionHeader">Preferred Background</h4>
<ul><li><div>Crypto/FinTech: Familiarity with futures trading, perpetuals, or blockchain data structures (Web3.js, Ethers.js).</div>
</li><li><div>Security First: Experience in &quot;Red Teaming&quot; AI agents to ensure they cannot be manipulated into unauthorized withdrawals or data leaks.</div>
</li><li><div>Education: Bachelor's or Master's in Computer Science, Mathematics, or a related quantitative field.</div>
</li></ul><h3 class="jobSectionHeader">The OneBullEx &quot;Edge&quot;</h3>
<ul><li><div>AI-Native Environment: We don't just use AI to write emails; we use it to run the exchange. You will have the freedom to experiment with the latest models (Gemini 3, GPT-5, Claude 4.5+) as they launch.</div>
</li><li><div>Competitive Package: Top-tier salary, performance bonuses tied to automation efficiency, and full relocation to the crypto-friendly hub of Dubai.</div>
</li><li><div>Remote Flexibility: While we have a core team in Dubai, we are open to elite talent working remotely in compatible time zones.</div></li></ul></div>

AI Engineer

<div>OneBullEx is transitioning into an AI-driven exchange. / OneBullEx 正在转型为一家 AI 驱动的交易所。

As a Staff Data Architect, you are the master designer of the nervous system that feeds our AI. / 作为资深数据架构师，你是构建 AI 底层神经系统的核心总设计师。

You won't just manage databases; you will architect the autonomous data structures required for AI agents to reason, execute, and manage complex financial workflows. / 你不仅仅是管理数据库，更要构建自动化数据结构，以支持 AI 智能体进行推理、执行并管理复杂的金融工作流。

Your mission is to bridge the gap between raw Crypto market behaviors and the &quot;Single Source of Truth&quot; that powers our autonomous trading ecosystem. / 你的使命是消除原始加密市场行为与支撑自动化交易生态的&quot;唯一事实来源&quot;之间的鸿沟。

<h3 class="jobSectionHeader">Core Responsibilities / 核心职责</h3>
<h4 class="jobSectionHeader">1. Instrumentation &amp; Tracking / 全链路采集与埋点</h4>
<ul>
<li>Protocol Design: Define unified tracking standards across App/Web/H5. 
协议设计： 统一 App/Web/H5 全平台的埋点标准。
</li>
<li>Design high-dimensional protocols for unique Crypto interactions (e.g., K-line scaling, leverage slider adjustments).
 
针对加密货币特有的交互（如 K 线缩放、杠杆滑块调节）设计高维度协议。
</li>
<li>Full-Link Attribution: Ensure a seamless data path from external acquisition (KOLs, Ads) through KYC to first trade conversion. 
全链路归因： 确保从外部获客（KOL、广告）到 KYC 再到首次交易转化的数据链路无断点。
</li>
<li>Quality Control: Establish automated validation to eliminate &quot;missing or inconsistent&quot; data, ensuring absolute raw data purity for AI training. 
质量管控： 建立自动化校验机制以消除&quot;漏报或口径不一&quot;的数据，确保 AI 训练原始数据的绝对纯净。
</li>
</ul><h4 class="jobSectionHeader">2. All-Domain Logical Modeling / 全链路逻辑建模</h4>
<ul>
<li>Trading &amp; Assets: Unify Spot and Futures logic. 
交易与资产： 统一现货与合约的业务逻辑。
</li>
<li>Design multi-currency and sub-account reconciliation models. / 设计多币种及子母账户的对账模型。
</li>
<li>Growth &amp; ROI: Build refined models linking frontend behavior with backend flows for end-to-end ROI analysis. 
增长与 ROI： 构建精细化模型，联通前端行为与后端流水以实现端到端 ROI 分析。
</li>
<li>Risk &amp; Compliance: Design logical layers for real-time exposure monitoring and bot/wash-trading detection. 
风控与合规： 设计实时敞口监控及机器人刷量行为检测的逻辑层。
</li>
</ul><h4 class="jobSectionHeader">3. Governance &amp; Single Source of Truth / 统一指标与治理</h4>
<ul>
<li>Metric Store: Lead the company-wide Metric Store to ensure DAU, AUM, and Volume are consistent across all AI agents and dashboards. 
指标中心： 主导公司级指标库建设，确保 DAU、AUM 和交易额在所有 AI 智能体和看板中口径一致。
</li>
<li>Data Lineage: Build systems to track data origin, ensuring any schema changes are instantly evaluated for downstream impact. 
数据血缘： 构建追踪数据来源的系统，确保任何表结构变更都能即时评估对下游的影响。
</li>
</ul><h4 class="jobSectionHeader">4. AI-Driven Automation / AI 驱动自动化</h4>
<ul>
<li>Code-as-Model: Use AI to accelerate SQL writing and tracking-code generation. 
代码即模型： 利用 AI 加速 SQL 编写和埋点代码生成。
</li>
<li>Autonomous Governance: Implement &quot;AI to govern AI data&quot; frameworks to maintain model documentation in real-time. 
自主治理： 实施&quot;以 AI 治理 AI 数据&quot;的框架，实时维护模型文档。
</li>
</ul><h3 class="jobSectionHeader">Candidate Requirements / 任职要求</h3>
<ul>
<li>Crypto Expertise (Mandatory): 3+ years in CEX/DEX environments. 
行业经验（硬性）： 3 年以上 CEX/DEX 环境经验。
</li>
<li>You must understand trading engine logs and on-chain data.
 
你必须深入理解交易引擎日志和链上数据。
</li>
<li>Master Modeler: 5+ years of Kimball dimensional modeling. 
建模专家： 5 年以上 Kimball 维度建模经验。
</li>
<li>Expert in handling billion-row snapshot tables and cold/hot data separation.
 
精通处理亿级快照表及冷热数据分离。
</li>
<li>Tracking Veteran: Expert-level experience with Sensors Data, Amplitude, or Mixpanel. 
埋点老兵： 具备神策数据、Amplitude 或 Mixpanel 的专家级经验。
</li>
<li>AI Native: Proficiency in AI coding tools and a forward-thinking mindset on how LLMs interact with structured data. 
AI 原生： 熟练使用 AI 编码工具，并对大模型如何与结构化数据交互具有前瞻性思维。
</li>
<li>Resilience: Ability to maintain data integrity during extreme market volatility. 
抗压能力： 能够在市场剧烈波动期间保持数据的完整性与准确性。</li></ul></div>

Staff Data Architect / 资深数据架构师

noon

<div>
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is simple yet bold: Every door, every day.
 
 
 
 
 
 
 About the Role
 
 
 
 As an SDE-2 in the
 
 Vector
 
 squad at
 
 Everyday Labs
 
 , you will join a high-leverage engineering initiative designed to architect and deploy advanced technical solutions for the company&rsquo;s most critical challenges. Vector serves as the bridge between raw AI capability and practical engineering execution. We utilize internal foundational AI infrastructure, specifically
 
 Model Context Protocol (MCP)
 
 and
 
 LLM integration layers, to build
 
 applications and engineering tools that drive massive operational impact. Whether it&rsquo;s an AI-driven Talent Mapping Engine or a custom Application Tracking System, Vector focuses on turning cutting-edge tech into high-reliability products.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Architect High-Impact Applications:
 
 Lead the engineering effort for key products such as our AI-driven Talent Mapping Engine (Vertex AI), "NoonLaundry," and sophisticated internal App integrations using OpenAI&rsquo;s SDK.
 </li>
 <li>
 
 Operational Excellence:
 
 Build and scale engineering tools that solve internal bottlenecks, ensuring that AI-native experiences are grounded in practical, high-performance code.
 </li>
 <li>
 
 Professional Ownership:
 
 Take full ownership of service reliability, correctness, and architecture, applying SDE-2 standards to ensure systems are robust and maintainable.
 </li>
 <li>
 
 AI Implementation:
 
 Work with domain experts to refine how we evaluate LLM outputs and improve response quality over time within our production environments.
 </li>
 <li>
 
 Collaborative Engineering:
 
 Partner with internal infrastructure teams to influence the development of our Model Context Protocol (MCP) layers.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 
 Professional Depth:
 
 5+ years of impactful experience as a Software Development Engineer, specifically building and maintaining
 
 large-scale services
 
 .
 </li>
 <li>
 
 Python Expertise:
 
 Deep, professional-level experience with
 
 Python
 
 . You are expected to write clean, idiomatic, and performance-oriented code.
 </li>
 <li>
 
 Reliability Mindset:
 
 A strong focus on correctness and reliability. You have a track record of building services that handle production loads gracefully and are easy to monitor and debug.
 </li>
 <li>
 
 User-Centric Impact:
 
 A mindset that prioritizes real-world impact. You understand that the best code is the code that solves a significant problem for the user or the business.
 </li>
 <li>
 
 Technical Maturity:
 
 You bring the discipline of a seasoned engineer valuing documentation, unit testing, and architectural clarity.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 
 AI System Integration:
 
 Previous experience integrating with AI/ML ecosystems (e.g., Vertex AI, OpenAI).
 </li>
 </ul>
 
 
 
 
 
 MCP Knowledge:
 
 Familiarity with the
 
 Model Context Protocol (MCP)
 
 for connecting LLMs to external data and tools.
 
 
 
</div>

Software Development Engineer 2 "Backend"

Hamad Medical Corporation

<div>
 
 
 Job Summary
 
 
 
 The purpose of this role is to support the executive leadership of HICT to lead the hospital's digital transformation strategy and implementation roadmap anchored in cloud-first platforms and AI-enabled care and operations through rigorous business case development, vendor/tender evaluation, and executive stakeholder management to implement the strategic plan. The role also shapes the AI/automation and use-case roadmap and cloud migration paths; aligns initiatives to enterprise/business architecture, data/information governance; and drives change management and benefits realization across assigned hospital and corporate departments. The role includes providing technical expertise to HICT leadership to architect and implement the hospital's cloud infrastructure and AI technology platforms that enable digital transformation through robust platform engineering, infrastructure automation, and technical solution delivery. The role designs and builds enterprise cloud foundations and AI/ML infrastructure; establishes technical standards for platform architecture, security frameworks, and operational excellence; and ensures scalable, reliable, and compliant technology platforms across hospital and corporate systems
 
 
 
 Key Accountabilities
 
 
 <ul>
 <li>
 Lead business case development and financial analysis for digital, cloud and AI/automation initiatives including cost[1]benefit analysis, ROI/payback periods, Total Cost of Ownership (TCO), and sensitivity analyses to secure sound, value[1]driven investment decisions aligned with clinical and operational priorities.
 </li>
 <li>
 Shapes portfolio demand and prioritizes modern digital use cases (e.g., clinical decision support, predictive analytics, AI/ML diagnostic tools, automation, digital front door) by clarifying problem statements, outcomes and OKRs; conducting option analyses and applying prioritization criteria to enable timely governance approvals.
 </li>
 <li>
 Support on providing tender and vendor evaluation for various digital solutions including cloud services (SaaS/PaaS) and AI/ML platforms including RFP/RFI development, evaluation criteria/scoring, demos/POCs, capability and reference checks; negotiates terms/SLAs/pricing including data residency, security and model governance clauses to ensure compliance and value-for-money.
 </li>
 <li>
 Develop and design high level executive presentations, dashboards and board papers showcasing transformation progress, KPIs and value realization metrics; translates complex technical concepts into compelling business narratives to support effective decision-making by C-suite executives and governance committees.
 </li>
 <li>
 Serve as strategic partner to the HICT Executive Leadership by co-developing cloud and AI strategies and budgets; provides subject matter expertise on digital transformation; deputizes in executive forums as required to maintain strategic alignment and sponsorship.
 </li>
 <li>
 .Oversee implementation tracking and benefits realization through structured plans, post-implementation reviews and variance management. Establishes measurement frameworks including MLOps for AI model performance monitoring, drift detection, bias assessment and explainability to confirm delivery against approved business cases.
 </li>
 <li>
 Conduct comprehensive market analysis and competitive intelligence on hyperscalers/cloud roadmaps, AI/GenAI trends in healthcare, peer hospital benchmarking and strategic partnership opportunities to inform digital strategy, technology selection and innovation roadmaps.
 </li>
 <li>
 Ensure governance and compliance alignment with enterprise/business architecture standards, National Information Assurance, Qatar Privacy Laws, AI &amp; data ethics policies, model risk management, privacy/security frameworks and procurement policies. Maintains comprehensive audit trails for cloud risk management (data residency, vendor exit strategies, resilience) to meet internal and regulatory requirements.
 </li>
 <li>
 Drives adoption through change management strategies, ensuring sponsorship and measurable clinical and operational outcomes.
 </li>
 </ul>
 
 
 Job Location
 
 
 
 Doha, Qatar
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s Degree in computer science OR Computer Engineering OR related field
 
 
 
 Experience
 
 
 
 10 years of experience in IT consulting, digital transformation, or healthcare technology out of which 4 years in healthcare sector implementation AI projects
 
</div>

Director-Digital Transformation

Delivery Hero

<div>Company Description 
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

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