MLOps Engineer - Remote (AWS Certified Machine Learning)

Join MillenniumSoft Inc as a MLOps Engineer on a contract basis for a medical devices client. Lead the operationalization of ML workloads, design infrastructure, and collaborate with data scientists to ensure reliable and scalable models. Automate ML workflows and implement CI/CD pipelines.

• Design, build, and maintain infrastructure for ML development, deployment, and monitoring.
• Automate ML workflows and enhance model reproducibility.
• Ensure continuous integration and delivery of machine learning models.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 3+ years of experience in MLOps, DevOps, or related fields.
• Strong programming skills in Python and GoLang.
• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Proficiency with CI/CD tools such as GitHub Actions.
• Hands-on experience with AWS.
• Familiarity with Docker and Kubernetes.
• Knowledge of infrastructure-as-code tools: AWS CDK and CloudFormation.
• Strong understanding of the machine learning lifecycle.

• AWS Certified Machine Learning - Specialty.