Principal Machine Learning Operations Engineer
Core
Architect, build, and scale next-generation Machine Learning and Generative AI infrastructure, including training and deploying predictive models and advanced Agentic AI systems at enterprise scale.
Role type
Principal MLOps Engineer & Functional Lead
Builds
Unified, automated, and secure AI ecosystem for training and deploying ML and GenAI models
Domain
Healthcare technology, Generative AI, MLOps
Deliverable
production ML models
Required skills
MLOps platform architecture, enterprise feature store design, workflow orchestration, LLM infrastructure, parameter-efficient fine-tuning, model inference optimization, model registry management, AWS infrastructure design, Python, TensorFlow, PyTorch
Preferred skills
None stated
Technologies
Databricks, AWS, Python, TensorFlow, PyTorch
Responsibilities
Design and maintain scalable ML and data pipelines for CI/CD; Architect and govern enterprise feature and vector stores; Build workflow orchestration layers for multi-stage model training; Establish efficient environments for model training and fine-tuning; Optimize high-throughput, low-latency inference pipelines; Enforce lifecycle management policies using an enterprise model registry; Architect cost-efficient infrastructure with autoscaling on AWS; Implement real-time endpoint monitoring for model performance and drift; Serve as functional lead defining coding standards and architectural blueprints; Provide technical guidance and mentorship to senior engineers
Seniority
Principal, hands-on IC with strategic leadership
