<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>Please be aware this position will be based in Abu Dhabi. Full relocation support will be provided. This is NOT a remote position.<br/><br/></strong><strong>About AI71:<br/><br/></strong>AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges based in <strong>Abu Dhbai</strong>. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.<br/><br/><strong>The Role:<br/><br/></strong>As a Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.<br/><br/><strong>What You'll Do:<br/><br/></strong><ul><li>Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.</li><li>AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.</li><li>Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.</li><li>Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.</li><li>Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.<br/><br/></li></ul><strong>What You'll Bring:<br/><br/></strong><ul><li>Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.</li><li>5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.</li><li>Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.</li><li>Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).</li><li>Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;</li><li>Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.</li><li>Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.</li><li>Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.</li><li>Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.</li><li>Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. <br/><br/></li></ul><strong>Why AI71:<br/><br/></strong><ul><li><strong>Mission-Driven Work:</strong> Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.</li><li><strong>Unparalleled Opportunity:</strong> This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.</li><li><strong>Career Growth: </strong>We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.</li><li><strong>World-Class Environment:</strong> Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.</li></ul> </div>