Coffeebeans.io - MLOps Engineer - Bash/Shell Scripting

Job Title : MLOps Engineer. Experience : 5- 7 Years. Location : Hyderabad. Work Mode : Work From Office (5 Days/Week). Key Responsibilities - Assist in the design and development of MLOps pipelines for deployment and integration of ML models. - Support data scientists and senior engineers in operationalizing machine learning models. - Automate model training, testing, and deployment workflows using Python and shell scripting. - Monitor models in production and flag performance issues or anomalies for resolution. - Implement and maintain version control practices for ML models and data. - Containerize ML services and applications using Docker. - Set up and maintain Jenkins pipelines for continuous integration and delivery. - Support Kubernetes-based deployment of ML workloads. - Ensure adherence to security, data privacy, and governance standards. - Document MLOps processes, workflows, and configurations for team knowledge sharing. - Stay current with emerging MLOps tools, frameworks, and best practices. - Participate in sprint planning, standups, and retrospectives in an Agile environment. Skills - Hands-on experience or strong familiarity with MLFlow. - Proficiency in Python; experience with automation and Shell/Bash scripting. - Working knowledge of Docker for containerization. - Experience with Jenkins or similar CI/CD tools. - Basic understanding of Kubernetes for container orchestration. - Understanding of machine learning concepts and the model development lifecycle. - Familiarity with SDLC practices and Agile methodologies. - Good analytical and problem-solving skills. - Strong communication skills and ability to work collaboratively in a team. - Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field. (ref:hirist.tech)