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Ai Ml Engineer

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Summary

Designs, develops and deploys ML, deep-learning and Generative AI/LLM solutions for enterprise systems: RAG pipelines with LangChain/LlamaIndex, OpenAI/Hugging Face model integration, prompt engineering, and MLOps with Docker, CI/CD and Azure/AWS/GCP. Hybrid role (2nd shift) in Bengaluru or Mumbai.

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Role- AI ML Engineer

Experience- 5+ years

Location - Bangalore & Mumbai

Work Mode - Hybrid

Shift Timings - 2nd Shift


JD:

AI & ML Developer with 68 years of experience in machine learning, deep learning, and Generative AI solutions. The ideal candidate will design, develop, and deploy AI/ML models, including Large Language Model (LLM)-based applications, to solve complex business problems.

This role requires hands-on experience in model development, fine-tuning, deployment, and integration of AI solutions into enterprise systems.

Key Responsibilities

Machine Learning Development

  • Design, develop, and deploy ML models for predictive analytics and automation.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Implement supervised and unsupervised learning algorithms.
  • Optimize model performance and scalability.

Generative AI & LLM Implementation

  • Build and deploy LLM-based applications using frameworks such as LangChain or LlamaIndex
  • Implement RAG (Retrieval-Augmented Generation) pipelines.
  • Integrate models from OpenAI, Hugging Face, or open-source LLMs.
  • Develop prompt engineering strategies and optimize response quality.
  • Work on embeddings, vector databases, and semantic search implementations.

Deployment & MLOps

  • Deploy models using APIs or microservices architecture.
  • Containerize applications using Docker.
  • Implement CI/CD for ML pipelines.
  • Monitor model performance and retrain as required.
  • Work with cloud platforms such as Azure/AWS/GCP for AI deployments.

Collaboration & Documentation

  • Work closely with data engineers, business analysts, and product teams.
  • Translate business use cases into AI-driven solutions.
  • Document model design, architecture, and deployment processes.

Technical Skills Required

  • Strong proficiency in Python
  • Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
  • Hands-on experience with NLP and LLM concepts
  • Experience with vector databases (e.g., FAISS, Pinecone, or similar)
  • API development using FastAPI or Flask
  • Experience with Git and version control
  • Understanding of data structures, algorithms, and statistics

Required Qualifications

  • Bachelors/Master’s degree in Computer Science, Data Science, AI, or related field
  • 6–8 years of experience in ML/AI development
  • Strong analytical and problem-solving skills
  • Experience working in Agile/Scrum environments
  • Good communication and collaboration skills


Thank you

Aswini V - HR


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See also

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