Senior MLOps Engineer

Senior MLOps Engineer | Remote (U.S.) | $160,000 - $220,000 base + benefits | Permanent

We’re partnered with a high‑growth technology company building out its Machine Learning Platform function and seeking a Senior MLOps Engineer. This role sits at the heart of their production AI environment and will focus on creating scalable, reliable systems that support continuous training, deployment, and monitoring of ML models.

If you’re an engineer who knows how to turn research models into robust, repeatable production systems, this is a strong opportunity to join a well‑funded, engineering‑first business operating at national scale.

The Role:

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.

Key Responsibilities:
Build and maintain end‑to‑end ML pipelines (training, deployment, monitoring)
Develop scalable model‑serving systems across batch and real‑time use cases
Implement CI/CD workflows for ML
Set standards for observability, reliability, and model governance
Automate retraining and model promotion workflows
Collaborate across teams to improve platform performance and engineering velocity

Requirements:
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

Nice to Have:
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

If you’d like to discuss this role, please reach out with your resume or message me directly here on LinkedIn.
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