MLOPS Engineer

Role: MLops Engineer
Experience level: 5-7years
Location: Chennai (Hybrid)

Can you say Yes, I have! to the following?

Extensive knowledge in machine learning concepts, models and algorithms
Good knowledge on Machine Learning Operations or Development Operations
Good knowledge on software engineering DevOps
Well versed in major machine learning operations platforms and providers Quickly adapt to new platforms and tools

Can you say Yes, I will! to the following?

Deliver end-to-end AA & AI model deployment by actively conducting the technical operationalization steps
Support the use case squads in code QA/QC to be ready for deployment
Contribute to cross-functional problem-solving sessions with use case squad and provide inputs regarding productization
Orchestrate production pipeline and model/code transfer to production environment. Ensure it is working as intended
Ensure the code transferred to production is bug-free, all sources are setup or production servers
Find run-time performance improvement and decide which ML technologies will be used in production environment
Monitor model performance, model drift and data drift and take appropriate remedial action to correct model performance
Collaborate with other stakeholders (BT, EDM, BU) to ensure all infrastructure requirements are completed for model productization
Document the various approach, techniques used in operationalization for maintainability and knowledge sharing purpose
Great understanding of different MLOps concepts and platforms
Mentor and coach MLOps Engineer on MLOps techniques, processes, new platforms, ways of working and supporting in their use case operationalization delivery.