Ai Ml Engineer

As discussed, we came across your profile through Naukri and found it suitable for an exciting opportunity with our organization. 

Work Location & Policy

• Location: Hyderabad /
• Free meals, snacks and amenities are provided daily to support employee well-being.

About Nisum:

Nisum is a global technology consulting and solutions company with over 25 years of market presence. We specialize in digital transformation, software development, and IT consulting. Our clients include Fortune 500 companies across the globe. We take pride in our people-first culture and commitment to excellence, making us a trusted technology partner across industries. One distinct perk showing Nisums commitment to employee well-being is providing free meals, snacks, and related amenities.

Website Link: https://www.nisum.com/

Nisum | A Technology Consulting Partner

Learn how Nisum designs and builds customized eCommerce platforms to power enterprises large and small.

Machine Learning Engineer / Generative AI Engineer

Experience: 8 Years
Location: Hyderabad / 
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

• 8 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.
• Experience in MCP (Model Context Protocol)/ADK (Agent Development Kit)
• 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

• Bachelors Degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field.

Benefits

• Competitive compensation and benefits package.
• Continuous learning and certification sponsorship programs.
• Parental medical insurance coverage (optional enrollment).
• Employee engagement activities, hackathons, sports events, and cultural celebrations.
• Free snacks and dinner, along with subsidized lunch facilities.
• Opportunity to work on cutting-edge AI and Generative AI technologies at scale.