Senior Machine Learning Engineer

About This Role

Key Responsibilities:

• 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 We’re looking for:

• 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.
• 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.