Senior MLOps Engineer
Actively Hiring
Full-time $160k - $220k Posted 7 months ago
Role overview
You’ll work alongside Data Science, Platform Engineering, and Software Engineering to design the infrastructure, tooling, and automation that powers their ML lifecycle. This is a senior technical contributor role with ownership, autonomy, and influence on architecture and roadmap.
Responsibilities
- check_circle Build and maintain end‑to‑end ML pipelines (training, deployment, monitoring)
- check_circle Develop scalable model‑serving systems across batch and real‑time use cases
- check_circle Implement CI/CD workflows for ML
- check_circle Set standards for observability, reliability, and model governance
- check_circle Automate retraining and model promotion workflows
- check_circle Collaborate across teams to improve platform performance and engineering velocity
Basic qualifications
- Strong Python engineering background
- Hands‑on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
- Experience with ML workflow tools (e.g., MLflow, Kubeflow, SageMaker, Vertex, Airflow, Dagster, Prefect)
- Strong understanding of model deployment, distributed systems, and data pipelines
- Practical experience building production ML systems
Preferred qualifications
- Familiarity with feature stores or model registries
- Monitoring/observability tooling
- Streaming platforms such as Kafka or Kinesis
- Terraform or other IaC tools
- Experience with LLM/GenAI‑related pipelines
Tags & Focus Areas
Fulltime Remote Ai Machine Learning Data Science Mlops
About Franklin Fitch
Our client is seeking an experienced Automation and CI Engineer to build and maintain the automation, data, and CI backbone that powers robotic testing and continuous integration for next-generation wearable devices. The role spans Android and lab-based robotic systems, helping the engineering organization ship faster with greater reliability and quality.