Machine Learning Engineer

Role overview

You will develop scalable machine learning platforms and workflows that enable scientists and researchers to build, deploy, and manage AI/ML models. The role supports drug discovery and development, partnering with engineers, data scientists, and domain experts to productionize applied AI solutions.

Responsibilities

• Deliver AI/ML-enabled applications with deployed models ranging from classical ML to NLP, protein language models, and large language models
• Contribute to ML platform capabilities, including:
  • Data pipelines and feature engineering workflows
  • Model training, evaluation, and deployment pipelines
  • Experiment tracking and model registry systems
  • Model performance evaluations and monitoring
• Help implement AI/ML Ops best practices, including:
  • CI/CD, infrastructure as code (IaC), monitoring, and traceability/reproducibility
• Collaborate with cross-functional teams to move from experimentation to production-grade enterprise solutions
• Build and maintain scalable, productionized MLOps solutions on cloud platforms
• Create training content and knowledge articles to educate scientists on model lifecycle management

Requirements

• Basic qualifications:
  • Master’s degree, or
  • Bachelor’s degree + 2 years experience, or
  • Associate’s degree + 6 years experience, or
  • High school diploma/GED + 8 years experience (Computer Science/IT/engineering)
• Required skills:
  • Software programming with Python, version control, and test-driven development
  • Familiarity with cloud technologies (AWS preferred, Databricks)
  • Hands-on experience training and serving AI/ML models

Nice to have

• Experience deploying and maintaining AI/ML models in production
• Substantial cloud experience (Databricks, AWS preferred, or Azure)
• MLOps frameworks/tools (e.g., MLflow, Kubeflow, Weights & Biases, Terraform)
• Containerization (Docker, Kubernetes)
• Distributed data processing (e.g., Spark)
• Data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain)