Senior Machine Learning Engineer
Core
Build MLOps foundations and production-grade ML services to integrate predictive models into biologics discovery workflows.
Role type
Senior Software/ML Engineer
Builds
Scalable, tested, and maintainable ML services, APIs, and MLOps infrastructure for Large Molecule Discovery.
Domain
Biotech/Pharma (Biologics Discovery) + MLOps/ML Engineering
Deliverable
production ML models
Required skills
Python, MLOps, CI/CD, containerization, model serving, software engineering best practices, API development
Preferred skills
Docker, Kubernetes, AWS, Databricks, Spark, PyTorch, TensorFlow, scikit-learn, model observability, drift detection
Technologies
MLflow, Docker, Kubernetes, REST/gRPC, AWS, Databricks, Spark, PyTorch, TensorFlow, scikit-learn
Responsibilities
Design and deploy production ML services/APIs; package and serve models for batch/real-time inference; establish MLOps practices (tracking, versioning, deployment); implement CI/CD pipelines; monitor model performance and data drift; build reproducible data/training workflows.
Seniority
Senior, hands-on IC
