Machine Learning Engineer / Generative AI Engineer

Experience: 512 Years
Location: India
Employment Type: Full time

About the Role

We are seeking an experienced Machine Learning Engineer / Generative AI Engineer to join our growing AI team. In this role, you will be responsible for designing, deploying, and operating enterprise-scale AI and Generative AI solutions in cloud-based production environments. You will work closely with cross-functional teams to build intelligent applications, implement AI workflows, and establish scalable AI platforms that deliver measurable business value.

Key Responsibilities
Deploy, scale, and manage Machine Learning and Generative AI solutions in cloud environments, with a preference for Azure-based ecosystems.
Design and develop enterprise-grade Retrieval-Augmented Generation (RAG) applications using embeddings, vector databases, and retrieval pipelines.
Build and operationalize Agentic AI workflows with tool integration using frameworks such as LangChain and LangGraph.




Develop reusable AI infrastructure and orchestration frameworks using Model Context Protocol (MCP) and AI Development Kit (ADK).
Design and implement model-serving architectures, including REST APIs, batch inference, and real-time AI services.
Establish best practices for observability, monitoring, evaluation, governance, and performance optimization of AI systems.
Collaborate with Data Engineering, Application Development, and Business teams to integrate AI solutions into enterprise workflows.
Drive adoption of MLOps and LLMOps practices, including CI/CD automation, model versioning, testing, deployment, and lifecycle management.
Ensure security, compliance, reliability, scalability, and cost optimization of AI services deployed in production settings.
Contribute to architectural decisions and continuously improve AI platform capabilities.

Required Skills & Experience
5–12 years of experience in Machine Learning Engineering, AI Platform

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