Senior Machine Learning Engineer, Biologics Discovery

Johnson & Johnson seeks a Senior Machine Learning Engineer to build and operate ML/AI deployment and lifecycle management systems for biologics discovery. The role bridges model development and production environments, enabling AI solutions to scale reliably across scientific discovery workflows.

Responsibilities

• Design and operate scalable pipelines delivering model-ready data to ML and AI workflows
• Establish deployment, serving, monitoring, and lifecycle management for models across environments
• Implement versioning, reproducibility, rollback capabilities, and traceability across ML systems
• Develop monitoring and alerting practices for model performance, data quality, and system health
• Partner with data scientists and technology teams to operationalize AI solutions for discovery

Requirements

• Expertise in ML operations, CI/CD pipelines, and model deployment practices
• Experience with reproducibility, versioning, and lifecycle management in ML systems
• Strong background in monitoring, observability, and performance management for ML workflows
• Knowledge of data governance, access management, and regulatory compliance in enterprise settings
• Proficiency in scalable compute infrastructure and cloud platforms
• Experience working cross-functionally with data scientists and domain experts