Job Title

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.