Machine Learning Engineer

About the Company

Our client is a trusted global innovator of IT and business services, operating in 50+ countries. They specialize in digital transformation, IT modernization, consulting, and managed services. With a strong focus on innovation and long-term client success, they empower organizations to confidently embrace their digital future.

Experience : 4–11 Years (STRICTLY)

Notice Period : Immediate Joiners to 20 Days [Notice period serving candidates can apply]

Job Title : ML OPS and LLM OPS

Location : Bengaluru, Pune, Hyderabad,Kolkata, Chennai, Noida, Gurgaon

Employment Type : Permanent

Mandate Skills : Agentic AI, Python, AI / ML, LLM, Kafka, Flask, Fast API, Rabbitmq, Airflow

• 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.

Important Note (Please Read Before Applying)

Do NOT apply if :

✅ Apply ONLY if you meet ALL criteria above. Random or irrelevant applications will not be processed.