ML/GenAI Engineer

Nisum; Khordha, Hyderabad; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Nisum is seeking an experienced Machine Learning Engineer / Generative AI Engineer to design, deploy, and operate enterprise-scale AI solutions in cloud environments. You will build and scale RAG applications, integrate LangChain-based workflows, and advance MLOps practices across cross-functional teams.

You will collaborate with Data Engineering, Application Development, and Business teams to deliver secure, scalable AI services, leveraging Azure AI, Databricks, and modern orchestration

Qualifications

• 5–15 years of experience in ML engineering, AI platform engineering, MLOps, or related domains.
• Proficiency in Python and building production-grade AI/ML applications.
• Hands-on experience with Generative AI and LLM applications in enterprise environments.
• Expertise in RAG, vector search, embeddings, and retrieval pipelines.
• Experience with LangChain, LangGraph, and LangSmith.

Responsibilities

• Deploy, scale, and manage ML and Generative AI solutions in cloud environments (Azure preferred).
• Design and develop enterprise-grade RAG apps using embeddings and retrieval pipelines.
• Build AI infrastructure and orchestration using MCP and ADK.
• Develop model-serving architectures including REST APIs and real-time services.
• Ensure observability, monitoring, governance, and cost optimization of AI systems.
• Collaborate with Data Eng, Devs, and Business teams to integrate AI into workflows.
• Advance MLOps/LLMOps practices including CI/CD, versioning, testing, and deployment.
• Ensure security, reliability, and scalable production AI services.

Skills

Python

Generative AI

LLMs

MLOps

Problem solving

Cloud AI (Azure)

Retrieval-Augmented Generation

LangChain/LangGraph

REST APIs

CI/CD

Education

Bachelor’s Degree in CS/IS/Engineering

Tools

Docker

Kubernetes

Azure ML

Databricks

LangChain

LangGraph

LangSmith

Job description

Machine Learning Engineer / Generative AI Engineer

Experience:- 5-15 Years
Location:Hyderabad / / Bhubaneswar
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 environments.
• Contribute to architectural decisions and continuously improve AI platform capabilities.

Required Skills & Experience

• 510 years of experience in Machine Learning Engineering, AI Platform Engineering, MLOps, or related domains.
• Strong proficiency in Python and experience building production-grade AI/ML applications and services.
• Hands-on experience with Generative AI and Large Language Model (LLM) applications in enterprise environments.
• Expertise in Retrieval-Augmented Generation (RAG), vector search, embeddings, and retrieval pipelines.
• Experience with orchestration frameworks such as LangChain, LangGraph, and LangSmith.
• Strong understanding of AI model serving, inference pipelines, monitoring, and observability.
• Experience with Azure AI, Azure Machine Learning, Databricks, or similar cloud AI platforms.
• Hands-on experience with Docker, Kubernetes, REST APIs, and cloud-native deployments.
• Knowledge of MLOps/LLMOps practices, including CI/CD, testing, version control, and deployment automation.
• Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment.

Educational Qualification

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field. Role & responsibilities

Preferred candidate profile

Perks and benefits