AI71, an industry leader in artificial intelligence delivering secure, enterprise-ready solutions, is seeking a Senior MLOps Engineer to join our team in Abu Dhabi. You will develop, deploy, and optimize machine learning models and ML systems powering our AI solutions, collaborating with cross-functional teams to translate business challenges into impactful AI products.

Responsibilities include: - Develop, train, and deploy predictive models to enhance our AI solutions; - Work with state-of-the-art AI techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), applying them to real-world business contexts; - Partner with business stakeholders to understand objectives and translate them into actionable ML tasks; - 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 input data for model development.

Required qualifications: - Master''s or PhD 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; preference for candidates with competitive coding background (ACM/ICPC, NOI/IOI, TopCoder, Kaggle); - Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit, with solid understanding of REST principl

AI71, an industry leader in artificial intelligence delivering secure, enterprise-ready solutions, is seeking a Senior MLOps Engineer to join our team in Abu Dhabi. You will develop, deploy, and optimize machine learning models and ML systems powering our AI solutions, collaborating with cross-functional teams to translate business challenges into impactful AI products.

Responsibilities include: - Develop, train, and deploy predictive models to enhance our AI solutions; - Work with state-of-the-art AI techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), applying them to real-world business contexts; - Partner with business stakeholders to understand objectives and translate them into actionable ML tasks; - 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 input data for model development.

Required qualifications: - Master''s or PhD 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; preference for candidates with competitive coding background (ACM/ICPC, NOI/IOI, TopCoder, Kaggle); - Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit, with solid understanding of REST principl