We are looking for Senior MLOps / DevOps Engineer for our client in Hyattsville, MD
Job Title: Senior MLOps / DevOps Engineer
Job Location: Hyattsville, MD
Job Type: Contract
Job Overview:
Pay Range: $55hr - $60hr
- Design, implement, and maintain scalable machine learning and data platform solutions on Azure.
- Drive best practices for CI/CD, containerization, and MLOps to support efficient model development and deployment.
- Collaborate with data science and engineering teams to enhance system scalability, reliability, and security.
- Support end-to-end machine learning lifecycle and deployment processes.
Responsibilities:
- Design and implement CI/CD pipelines using Azure DevOps.
- Architect and manage Kubernetes environments for machine learning workloads.
- Enable end-to-end MLOps workflows across Azure ML and Databricks platforms.
- Collaborate with cross-functional teams to improve system performance and reliability.
- Support deployment, monitoring, and maintenance of ML models in production.
- Ensure security and scalability of cloud-based solutions.
Skills:
- Strong expertise in Azure DevOps and CI/CD pipeline development.
- Experience with Kubernetes and container orchestration.
- Strong knowledge of Azure cloud services.
- Understanding of MLOps practices and ML lifecycle management.
- Experience with Azure ML and Databricks platforms.
- Strong problem-solving and analytical skills.
Should Have:
- Experience with infrastructure as code tools such as Terraform.
- Knowledge of monitoring and observability tools.
- Experience with machine learning model serving frameworks.
Qualification And Education:
- Bachelor s degree in Computer Science, Engineering, or a related field preferred, or equivalent experience.