Senior Machine Learning Engineer

Sourced from compbiojobs.com

• Design, build, deploy, and maintain ML models, LLM applications, and AI agents, including batch and real-time inference services integrated into business applications.
• Build training, evaluation, deployment, and monitoring workflows with Databricks and MLflow, and operate AI infrastructure on AWS and Azure that balances performance, reliability, security, and cost.
• Establish MLOps, LLMOps, AgentOps, and DataOps practices – covering versioning, automated testing, rollback, safety controls, human oversight, and reliable, well-governed data.
• Monitor model quality, data drift, latency, availability, and cost, investigate failures, and define evaluation criteria that measure technical quality alongside business outcomes.
• Lead technical design discussions, review code, mentor engineers, and document operational procedures to raise engineering standards across the team.