MLOPS Engineer

Concord, United States | Posted on 01/15/2026

Seeking a Senior MLOps Engineer to build, deploy, and operate production-grade ML systems
. This role focuses on automating the ML lifecycle
, enabling scalable cloud deployments
, and ensuring model reliability, monitoring, and governance in an enterprise environment.

• Build and maintain end-to-end ML pipelines using MLflow, Kubeflow, or Vertex AI
• Automate model training, testing, deployment, monitoring, and retraining
• Implement CI/CD workflows for model versioning and lifecycle management
• Deploy ML workloads on Google Cloud Platform, AWS, or Azure using Docker and Kubernetes
• Monitor model performance, drift, and compliance with model governance (MRM, explainability)
• Support low-latency inference APIs for real-time and batch scoring

• 10+ years in Software Engineering and 3+ years in MLOps / ML Operations
• Strong hands-on experience with Java, Python, SQL
• Experience with ML frameworks (
  scikit-learn, XGBoost, Tensor Flow, Py Torch )
• Hands-on delivery of 3–4 production ML projects
• Experience with Docker, Kubernetes, CI/CD pipelines
• Familiarity with Airflow, Spark, and ML Ops frameworks
• Strong communication and stakeholder management skills