MLOps Lead

Experience - 8-12 Yrs

Notice period - IMM - Serving

Location - Any UST ( preference for Kochi/Trivandrum/Chenani/Bangalore)

Primary Skills - MLOps, Kubernets, Python, Gen AI

Secondary skills - Team handling/Lead exposure

Key Responsibilities

• Design, implement, and manage scalable MLOps platforms and CI/CD pipelines for ML workflows.
• Develop and maintain robust Python-based automation and orchestration solutions.
• Administer and troubleshoot Linux-based environments and infrastructure.
• Automate deployment,monitoring, retraining, and maintenance of machine learning models.
• Create and maintain Bash/Shell scripts for automation, system operations, deployments, and monitoring activities.
• Ensure platform reliability, security, scalability, performance, proper access control, and operational excellence.
• Collaborate with Data Science and Engineering teams to streamline ML operations and deployment processes.
• Mentor junior developers and engineers by providing technical guidance, design and code reviews, and promoting best practices.
• Implement monitoring, logging, ing, and performance optimization for ML systems.
• Drive technical standards, documentation, and operational governance across MLOps initiatives.
• Support troubleshooting and root cause analysis for production incidents and platform issues.
• Enforce promotion governance, version control practices, and establishment of golden datasets.

Required Skills & Qualifications

• 10+ years of overall IT experience with strong exposure to MLOps and Platform Engineering.
• Strong proficiency in Python programming.
• Hands-on experience with Linux System Administration.
• Strong scripting expertise using Bash/Shell scripting.
• Experience building automation frameworks and operational tooling.
• Experience working with Dataiku or similar platforms is preferred.
• Strong understanding of CI/CD pipelines and infrastructure provisioning.
• Experience working with observability and monitoring tools for ML platforms and infrastructure.
• Experience working with cloud and containerized environments such as EKS is preferred.
• Experience working with LLMs, Generative AI solutions, and Agentic AI frameworks is an added advantage.
• Strong problem-solving, troubleshooting, and analytical skills.
• Experience in implementing cost and resource optimization techniques for MLOps platforms and ML workloads.
• Experience working in Agile delivery environments.

Soft Skills

• Strong leadership skills with experience in mentoring junior developers and engineers.
• Excellent collaboration and communication skills.
• Ability to drive technical discussions and architectural decisions.
• Ownership mindset with focus on quality, timely delivery, scalability, and operational stability.