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.
- Robust 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.

📌 MLOps Lead (Tamil Nadu)
🏢 UST
📍 Tamil Nadu