MLOps Engineer

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)

We are seeking an experienced MLOps Engineer with strong expertise in AWS SageMaker to design, build, automate, and manage scalable machine learning platforms and production ML pipelines. The ideal candidate will have hands-on experience deploying machine learning models, implementing CI/CD for ML workflows, and managing cloud-native infrastructure on AWS. Key ResponsibilitiesDesign, develop, and maintain end-to-end MLOps pipelines on AWS.Build and manage machine learning workflows using Amazon

About the Company Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps. Founded in 2018, we help global enterprises across North America, Europe and Asia to build and operationalize AI systems that create measurable business impact. Our mission is to make AI adoption simpler, faster and scalable through a blend of deep domain expertise, reusable accelerators an

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is U