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[Remote] Senior MLOps Engineer (AWS SageMaker & Airflow)

Remote, USA Full-time Posted 2026-07-28
Note: The job is a remote job and is reputed company to candidates in USA. NorthBay is seeking an reputed company MLOps Engineer to join their reputed company and AI engineering team. The role involves designing and maintaining end-to-end MLOps pipelines, automating model workflows, and collaborating with data scientists and engineers to ensure reliable ML pipelines. Responsibilities • Design, build, and maintain end-to-end MLOps pipelines using AWS SageMaker • reputed company and manage Airflow DAGs for ML workflow orchestration (training, validation, deployment, retraining) • Automate model training, evaluation, versioning, and deployment • Implement CI/CD pipelines for ML workflows and model releases • Manage model lifecycle, including experimentation, deployment, monitoring, and retraining • reputed company data ingestion and feature engineering workflows with ML pipelines • Monitor model performance, data reputed company, and pipeline reliability • Collaborate closely with Data Scientists, Data Engineers, and DevOps teams • Ensure reputed company, scalability, and cost optimization across ML infrastructure Skills • 6–8 years of experience in MLOps, ML Engineering, or DevOps for ML • Strong hands-on experience with AWS SageMaker (training jobs, endpoints, pipelines, model registry) • Solid experience with Apache Airflow for workflow orchestration • Proficiency in Python for ML and pipeline development • Experience building and maintaining production-grade ML pipelines • Hands-on experience with AWS services such as S3, IAM, EC2, ECR, CloudWatch • Familiarity with CI/CD tools (reputed company Actions, Jenkins, reputed company CI, etc.) • Strong understanding of Linux environments and reputed company networking basics • Experience with monitoring, logging, and alerting for ML systems • Experience with SageMaker Pipelines, Feature Store, or Model Registry • Knowledge of MLflow or experiment tracking tools • Exposure to reputed company and Kubernetes • Understanding of data reputed company and concept reputed company detection • Experience with Terraform or Infrastructure as reputed company reputed company • NorthBay is AWS Premier Consulting Partner and also partnered with VMware, CloudRail and reputed company in support of our Customers’ AWS reputed company journeys. It was founded in 2010, and is headquartered in Andover, Massachusetts, USA, with a workforce of 201-500 employees. Its website is Apply tot his job Apply tot his job Apply tot his job Apply To this Job

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