Ai Ml Engineer _ Bangalore

NAM Info; Bengaluru; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

NAM Info in Bengaluru is seeking an experienced AI/ML Engineer L3 to design, develop, deploy, and optimize scalable AI/ML and GenAI solutions. You will collaborate with Data Scientists, Software Engineers, and Product teams to deliver enterprise AI applications.

Responsibilities include building data pipelines, fine-tuning models, creating REST APIs, and implementing MLOps for CI/CD, monitoring, and retraining, with focus on latency, accuracy, and cost efficiency.

Qualifications

• 58 years of experience in AI/ML Engineering.

Responsibilities

• Design, build, train, evaluate, and deploy Machine Learning and Deep Learning models.

Skills

Python

Machine Learning

Deep Learning

NLP

Generative AI

LLMs

Prompt Engineering

RAG

LangChain

LangGraph

LlamaIndex

Vector Databases

MLOps

REST APIs

Cloud Platforms

CI/CD

Git

Docker

Kubernetes

Tools

Docker

Kubernetes

LangChain

LlamaIndex

Pinecone

ChromaDB

FAISS

Weaviate

Milvus

MLflow

Job description

Greeting from Nam info!

We have a job opportunity for "AIML Engineer", interested candidate & who is available for Final round F2F interview in Bangalore

Job Title: AI/ML Engineer L3
Experience: 58 Years
Location: Bangalore

Job Summary

We are seeking an experienced AI/ML Engineer L3 to design, develop, deploy, and optimize scalable AI/ML and Generative AI solutions. The ideal candidate should have hands-on experience in Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, cloud platforms, and production-grade AI application development. The role requires close collaboration with Data Scientists, Software Engineers, and Product teams to build intelligent solutions for enterprise use cases.

Key Responsibilities

• Design, build, train, evaluate, and deploy Machine Learning and Deep Learning models.
• Develop enterprise AI applications using Generative AI technologies including LLMs, RAG, AI Agents, and Prompt Engineering.
• Build scalable data pipelines for AI model training and inference.
• Fine-tune foundation models and optimize model performance.
• Develop REST APIs and microservices for AI model deployment.
• Implement MLOps pipelines for CI/CD, model versioning, monitoring, and retraining.
• Work with vector databases and embedding models.
• Integrate AI services with enterprise applications.
• Optimize inference latency, model accuracy, and infrastructure costs.
• Collaborate with cross-functional teams using Agile methodologies.
• Ensure Responsible AI, governance, security, and compliance best practices.
• Stay updated with the latest AI/ML and GenAI technologies.

Mandatory Skills

• 58 years of experience in AI/ML Engineering.
• Strong Python programming.
• Machine Learning algorithms (Regression, Classification, Clustering, Recommendation Systems).
• Deep Learning using TensorFlow or PyTorch.
• NLP fundamentals.
• Generative AI concepts.
• Large Language Models (OpenAI, Llama, Claude, Gemini, Mistral).
• Prompt Engineering.
• Retrieval-Augmented Generation (RAG).
• LangChain / LangGraph / LlamaIndex.
• Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus).
• MLflow.
• Docker & Kubernetes.
• REST APIs (FastAPI or Flask).
• SQL and NoSQL databases.
• Git and CI/CD.
• Cloud Platform (Azure/AWS/GCP).
• MLOps tools and model deployment.