Senior Machine Learning Engineer at ai71

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, Retrieval-Augmented Generation, Python, PyTorch, TensorFlow, Scikit-learn, Langchain, LlamaIndex, FastAPI, Flask, Streamlit, SQL, NoSQL, Vector Databases, Fine-tuning, Reinforcement Learning

Industry

technology;Information and Internet

Description

Please be aware this position will be based in Abu Dhabi. Full relocation support will be provided. This is NOT a remote position. About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges based in Abu Dhbai. 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. The Role: 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. What You'll Do: Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions. 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. Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks. Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs. Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development. What You'll Bring: Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field. Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques. Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle). 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; Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex. Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search. Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems. Excellent communication and collaboration skills with the ability to work across interdisciplinary teams. Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. Why AI71: Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors. Unparalleled Opportunity: 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. Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team. World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

Responsibilities

Develop, deploy, and optimize machine learning models and systems, specifically focusing on LLMs and RAG. Collaborate with cross-functional teams to translate business challenges into impactful AI products and maintain robust data pipelines.