MLOPS Lead

arun.r@genpact.com Qualifications we seek in you!
Minimum Qualifications / Skills· Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field· Master’s degree is a plus· Expertise in MCP server to develop and deploy GenAI Solutions· Containerization – Docker, Kubernetes etc· Languages and scripting: Python, SQL· Cloud Services ((Any one))- AWS, GCP, Azure and Cloud Native· Analytics and AI tooling – Sagemaker, GenAI· Ensure GenAI outputs are contextually relevant· Familiarity with Generative AI technologies, Design and Implement GenAI Solutions· Collaborate with service line teams to design, implement and manage Gen-AI solution

Preferred Qualifications/ Skills
· Undergraduate degree or Master’s in Computer Science, Data Science, Statistics, Mathematics, or related field.· Relevant years of hands-on experience in AI/ML engineering, data science, or intelligent systems.· Strong proficiency in Python, including AI/ML libraries such as Pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.· Experience developing and deploying GenAI, RAG pipelines, LLM/SLM applications, and agentic workflows.· Hands-on experience working with MCP Server architectures, tool-augmented models, or modular capability frameworks.· Good to have : Software engineering experience with backend languages such as Python, Node.js, or Ruby.· Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) and vector databases (e.g., FAISS, Chroma, Weaviate, Pinecone) is a plus.· Strong understanding of RESTful API design and integration with AI systems.· Experience with Databricks, large-scale data processing, and MLOps practices.

Job Type: Full-time

Pay: ₹1,200,000.00 - ₹2,000,000.00 per year

Work Location: In person