Senior Machine Learning Engineer

**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.