Bengaluru, Karnataka
Job Summary

AI Engineer – Machine Learning & Generative AI

Location: Hybrid/Remote
Experience: 5-10 Years

Role Overview

We are seeking a skilled AI Engineer with strong Machine Learning and Generative AI experience to design, develop, and deploy AI solutions at scale. The ideal candidate will have hands-on expertise in ML model development, LLM-based applications, Agentic AI, and MLOps practices.

Key Responsibilities
Develop, train, evaluate, and deploy Machine Learning and Deep Learning models.
Build and implement Generative AI applications using LLMs, RAG, and AI agents.
Design and optimize data pipelines, feature engineering, and model training workflows.
Develop document intelligence, classification, prediction, recommendation, and NLP solutions.
Implement model monitoring, evaluation, and MLOps best practices.
Collaborate with data scientists, architects, and business stakeholders to deliver AI-driven solutions.
Skill Requirements
5-10 years of experience in AI/ML development.
Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI .
Hands-on experience with Python , Scikit-learn, TensorFlow, PyTorch,



and Pandas.
Experience building applications using Azure OpenAI, OpenAI, Claude, Gemini, or Llama models .
Knowledge of RAG, vector databases, prompt engineering, and Agentic AI frameworks .
Experience with Azure, AWS, or GCP cloud platforms.
Understanding of MLOps, CI/CD, Docker, Kubernetes, and model lifecycle management.

Preferred Skills

Experience with Azure AI Foundry, Azure AI Search, and Document Intelligence.
Familiarity with LangChain, LangGraph, Semantic Kernel, or AutoGen.
Experience in production deployment of AI/ML solutions.
Azure AI Engineer or related cloud certifications.

Ideal Candidate: A hands-on AI Engineer with a robust ML foundation and practical experience delivering production-grade Generative AI and Agentic AI solutions that drive measurable business impact.

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