Job Description
Role : ML OPS and LLM OPS _CADRE_AI
- Automating AI/ML model deployment and Setting up monitoring for the ML pipeline Integrate the existing, new codebase to the customer pipelines.
- Programming, working knowledge of machine learning algorithms and frameworks, and domain knowledge.
- Providing best practices and executing POC for automated and efficient model operations at scale.
- Querying and working with databases, testing ML models, Git and version control, frameworks like Flask, FastAPI.
- Hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. langchain) and APIs to build applications, tools and workflows for production.
- Familiarity with experiment tracking frameworks such as MLflow
- Setting up and automating data pipelines using tools such as Airflow, Kafka amd Rabbitmq etc.
- Automating CI/CD pipelines to account for data, code, and model changes
- Good on containerization. Proficiency in tools such as Docker and Kubernetes
- Ability to talk to customer architect team and drive and own the deployment cycle and co-ordinate with AIML developers to deploy the solution
Experience: 5-8 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.