Description
# Senior Machine Learning Engineer (Generative AI, LLMs, RAG) | Long-Term Contract ## Overview We are looking for an experienced **Machine Learning Engineer** with hands-on expertise in **Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)** to join our team on a contract basis. You will work on building and deploying production-ready AI solutions across multiple client engagements, including healthcare, enterprise, and other AI-driven applications. ## Responsibilities * Design, build, fine-tune, and evaluate machine learning and LLM-based solutions. * Develop scalable ML pipelines from data ingestion to model deployment and monitoring. * Build and optimize RAG pipelines using vector databases. * Collaborate with solution architects and cross-functional teams to translate business requirements into AI solutions. * Improve model accuracy, latency, scalability, and cost efficiency. * Implement model evaluation, monitoring, guardrails, and observability for production deployments. * Follow MLOps best practices, including model versioning and CI/CD for ML workflows. ## Required Skills * 3–6 years of hands-on experience in Machine Learning Engineering. * Strong Python programming skills. * Experience with PyTorch and/or TensorFlow. * Strong knowledge of scikit-learn. * Hands-on experience with Generative AI and Large Language Models. * Experience with LLM fine-tuning, prompt engineering, and context engineering. * Experience building Retrieval-Aug