MLOPS engineer

Role: ML Ops & Data Platform Engineer Location: USA (remote is good but need to cover PST time) Duration: Long term project ML Ops & Data Platform Engineer Contractor Overview We are seeking an experienced ML Ops & Data Platform Engineer to join a team for projects covering two areas of focus: 1. ML Operations help design, build, and operate production-grade machine learning infrastructure on AWS for advanced cancer screening and precision oncology applications, and support the integration of A

Role Specific Information Job Description About the Role As Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem. What You'll Do Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-fac

Required Qualifications Bachelor's degree in Information Systems or related field 3 6 years of experience in ML projects (with 18+ months in MLOps) Strong programming skills (Python, Java, or Scala) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with Azure cloud platform Familiarity with Docker and Kubernetes Experience with ML deployment tools (MLflow, Kubeflow)

Role: Senior MLOps (Machine Learning Engineer) Location: Fully Remote Duration: Full Time Job Description As a Senior AI/ML Engineer , you will lead the design, deployment, and operation of production- grade AI systems . Sentinel model protecting more consumers, faster, from more hazards by using analytics to shorten time to intervention. You will own end-to-end model lifecycle engineering on Azure, advance MLOps best practices, and build AI agents using Copilot Studio and Python frameworks th