We are looking for a hands-on ML / AI Engineer to join a fast-growing product company in the biopharma / life sciences domain. You will work closely with ML, engineering, product, and domain experts to turn prototypes into scalable, reliable AI-powered products.
What you will do: * Design, build, and deploy LLM-based applications (RAG pipelines, LangChain/LangGraph, knowledge graphs). * Develop production-ready ML services and APIs in Python. * Collaborate with data engineers on data ingestion pipelines and data quality. * Prototype AI solutions together with product teams and iterate based on real user feedback. * Deploy and monitor models in cloud environments (AWS preferred). * Contribute to MLOps practices: CI/CD, observability, scalability, reliability. * Work cross-functionally to identify high-impact AI/ML use cases.
What we are looking for: * Strong hands-on experience with ML / NLP, especially LLMs and transformer-based models. * Practical experience with LangChain (or similar frameworks). * Solid Python skills and understanding of software engineering best practices. * Experience working with databases and data pipelines (SQL / NoSQL, ETL). * Familiarity with cloud platforms (AWS / GCP / Azure). * Experience with Docker, CI/CD; Kubernetes is a plus. * Ability to work autonomously and take ownership of solutions. * Upper-Intermediate English or higher. * Ability to work evening hours — up to 10p.m.-12 a.m.
Nice to have: * Experience in healthcare, life sciences, or biopharma. * Experience with Spark, Airflow, Snowflake, Databricks.
