MLOps Senior Engineer - Remote
Core
Design, deploy, and support production machine learning and model-serving solutions in a high-volume environment.
Role type
Senior MLOps Engineer
Builds
Scalable ML pipelines, model-serving infrastructure, and automated operational workflows
Domain
Cloud-native Machine Learning Operations
Deliverable
production ML models
Required skills
Python, Java, Kubernetes, Google Cloud Platform, MLOps, CI/CD, Model Serving, Feature Stores, Monitoring
Preferred skills
AI coding assistants, LLMs for engineering processes
Technologies
Airflow, BigQuery, FastAPI, Spring Boot, Micronaut, Triton Inference Server, Vertex AI, GKE, Dataflow
Responsibilities
Build and automate model training, deployment, and refresh pipelines; Implement monitoring, alerting, testing, and operational controls; Perform load testing, performance tuning, and capacity planning; Use AI coding assistants and agent-based tools to improve workflows; Identify ways to use LLMs to streamline model evaluation and deployment validation.
