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. Key Responsibilities 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 Required Qualifications 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, TensorFlow, PyTorch ) 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 #J-18808-Ljbffr