AI ML Engineer

About the Role We are looking for a Machine Learning Engineer with a strong foundation in classical machine learning who has since moved into building applications powered by Generative AI. The ideal candidate brings hands-on experience working on problems in the pharmaceutical or life sciences domain. Key Responsibilities * Design and deploy machine learning models using classical techniques such as regression, tree-based methods, and ensemble models * Build and productionize GenAI applications, including LLM-based tools, retrieval-augmented generation (RAG) systems, and document intelligence pipelines * Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets * Adapt and evaluate LLMs for domain-specific use cases * Collaborate with domain experts to translate business requirements into ML/AI solutions * Own the ML lifecycle from data preparation through deployment and monitoring, while being mindful of data privacy and compliance in pharma contexts Required Skills & Experience * 3–6 years of experience in machine learning, spanning both classical ML and GenAI application work * Strong Python skills and experience with standard ML/deep learning frameworks * Practical experience with LLM tooling, prompt engineering, and RAG-based architectures * Experience working with pharma, healthcare, or life sciences data * Familiarity with cloud platforms and MLOps practices