Senior Machine Learning Engineer
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Key skills for this role
About the Role
AI71 is seeking a Senior Machine Learning Engineer to develop, deploy, and optimize ML models and systems. You will work with LLMs, RAG, and state-of-the-art AI techniques to solve real-world business challenges.
Key Skills for This Role
Responsibilities
- Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions
- Work with state of the art AI techniques, including Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
- Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks
- Continuously monitor, evaluate, and improve models based on real world performance and evolving business needs
- Implement and manage robust data preprocessing pipelines to ensure high quality, reliable input data for model development
Requirements
- 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, Data Science, or a related field
- Proven experience with Large Language Models (LLMs) and parameter efficient fine tuning methods (LoRA, QLoRA, etc.)
- Strong proficiency in Python
- Experience building and deploying LLM powered applications using FastAPI/Flask and Streamlit
- Expertise in machine learning frameworks (scikit learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex
- Experience with SQL, NoSQL, and vector databases
- Demonstrated success in applying data science and machine learning to solve real world business problems
- Excellent communication and collaboration skills
Full Job Posting
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 Dhabi.
- AI71 builds secure, enterprise ready applications powered by cutting edge technology—tailored for knowledge workers and sector specific needs.
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.
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