Full Stack Engineer 4 - MLOps
Core
Bridge software engineering, cloud infrastructure, and machine learning to build scalable ML infrastructure and productionize data pipelines.
Role type
Senior IC Full Stack MLOps Engineer
Builds
Scalable ML infrastructure, production microservices, automated data pipelines, and continuous monitoring systems
Domain
Financial Services / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Java, SQL, AWS, Docker, Kubernetes, PyTorch, TensorFlow, Spark, system resiliency, vulnerability remediation
Preferred skills
Production data pipeline scaling, open source framework development, people management, Agile practices, interactive AI tooling
Technologies
AWS, Docker, Kubernetes, PyTorch, TensorFlow, Spark, Java, Scala
Responsibilities
Own end-to-end MLOps lifecycle from research model to production microservices; Design and optimize automated data pipelines and model serving platforms; Write performant, maintainable code with strong engineering practices; Balance hands-on development with technical delivery leadership and cross-functional coordination
Seniority
Senior, hands-on IC with technical delivery leadership