ML Ops Engineer

Job Description for ML Ops engineer

Experience: 6-10 Yrs

Notice Period: 0-15 days

Work location: Any UST office, however, need to travel to Chandigarh on need basis.

Technical Skills

• Will need to be strong on ML pipelines, modern tech stack.
• Proven experience with MLOPs with Azure and MLFlow etc.
• Experience with scripting and coding using Python.
• Working Experience with container technologies (Docker, Kubernetes).
• Familiarity with standard concepts and technologies used in CI/CD build, deployment pipelines.
• Experience in relational database (e.g.:- MS SQL Server) & NoSQL Databases (e.g.:- MongoDB) Python and Strong math skills (e.g. statistics).
• Problem-solving aptitude and Excellent communication and presentation skills.
• Automating and streamlining infrastructure, build, test, and deployment processes.
• Monitoring and troubleshooting production issues and providing support to development and operations teams.
• Managing and maintaining tools and infrastructure for continuous integration and delivery.
• Managing and maintaining source control systems and branching strategies.
• Strong knowledge of Linux/Unix administration.
• Experience with configuration management tools like Ansible, Puppet, or Chef.
• Strong understanding of networking, security, and storage.
• Understanding and Practice of AGILE Methodologies.
• Proficiency and experience in working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server)
• Above average verbal, written and presentation skills.

If you are interested in this opportunity, please reply with your updated resume. We look forward to hearing from you soon.