Machine Learning Engineer II
Core
Build and deploy production-ready AI-enabled applications, RAG systems, and conversational AI interfaces to advance drug discovery and development workflows.
Role type
Machine Learning Engineer II (AI/LLM focus)
Builds
AI-enabled research applications, semantic search frameworks, agentic architectures, and data visualization tools for drug discovery.
Domain
Life Sciences / Drug Discovery / Cheminformatics / Bioinformatics
Deliverable
production ML models | product features
Required skills
Python, TypeScript, FastAPI, React, Streamlit, Prompt Engineering, Context Engineering, LLM Frameworks, Agentic Frameworks, API Design, Relational Databases, Non-relational Databases, Big Data Analytics, Statistical Analysis, Math, Probability, Algorithms
Preferred skills
Azure, AWS, Docker, Kubernetes, Nextflow, LLM Fine-tuning, Computer Vision (PyTorch), Chemical/Bioinformatics Libraries
Responsibilities
Design and deploy production-ready AI-enabled applications integrating structured and unstructured data; Build and implement retrieval-augmented systems (RAG) and semantic search frameworks; Develop conversational AI interfaces and agentic architectures; Research and develop machine learning algorithms and tools; Perform statistical analysis and fine-tuning using test results; Participate in digital transformation projects and data governance.
Seniority
Mid-level IC (2+ years experience)
