As a Senior Machine Learning Ops Engineer, 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.
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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.).
- Strong proficiency in programming languages like Python, with a 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, and a 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.
Location
Abu Dhabi, UAE
