Principal Machine Learning Engineer
Core
Implementing machine learning models for production, automating ML workflows, and building infrastructure to support scalable, reliable deployment.
Role type
Principal Machine Learning Engineer (Production & Infrastructure)
Builds
Production-ready ML models, automated ML workflows, and internal tooling for model monitoring and deployment.
Domain
Enterprise software, Generative AI, MLOps
Deliverable
production ML models | infrastructure
Required skills
Machine Learning, Model Training, DevOps, CI/CD, ETL, Python, Data Cleaning, Feature Engineering, System Metrics, Security & Privacy Risk Assessment, Code Review, Mentoring
Preferred skills
Generative AI, Prompt Engineering, Product Performance Analysis, Third-party Framework Evaluation
Technologies
PyTorch, TensorFlow, Keras, Oracle
Responsibilities
Transform ML prototypes into production-ready solutions, automate ML workflows across ETL and deployment, build infrastructure to track model performance, monitor deployed models and troubleshoot issues, develop new metrics for non-technical stakeholders, integrate ML models into existing systems, write efficient code and maintain the codebase, evaluate third-party ML frameworks for production scalability, mentor junior team members.
Seniority
Principal, hands-on IC with strategic impact and mentorship
