Associate ML & Gen AI Enigneer

• Location

  : Pune, Onsite(WFO)

• Department

  : Engineering / Data & AI

• Experience

  : 2-3 years in ML & Gen AI

Job Summary

• We are seeking an Associate Machine Learning Engineer of exposure and experience in developing AI solutions, including Generative AI, classical ML models, and data engineering pipelines.
• You will play a hands-on role in building and deploying scalable ML and GenAI applications.

Key Responsibilities -

Generative AI Development

• - Design and implement applications using large language models (LLMs).
• - Optimize prompts using techniques such as Chain of Thought, Few-Shot Learning, and RAG.
• - Build scalable APIs and pipelines for GenAI -powered features.

Machine Learning Engineering

• - Build and deploy ML models (classification, regression, recommendation, etc.).
• - Apply MLOps practices for model training, testing, deployment, and monitoring.

Data Engineering

• - Build and maintain data pipelines using Python and cloud-native tools.
• - Ensure availability, scalability, and quality of data used in AI workflows.
• - Work closely with backend and other engineering teams to integrate data systems.

Model Deployment & Maintenance

• - Deploy ML models via APIs, containers, or cloud services.
• - Monitor production models and optimize their performance and scalability.

Qualifications Required:

• 2 - 3 years of hands-on experience in Machine Learning (ML) and Generative AI.
• Mandatory: At least 1 year of recent experience working on Agentic AI workflows.
• Proficiency in Python and ML/AI frameworks and libraries such as Hugging Face, LangChain , and OpenAI .
• Strong experience in building APIs and deploying AI solutions in production environments.
• Experience in data pipeline development.
• Exposure to GenAI and ML/AI projects will be an added advantage.

Preferred

• - Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
• - Exposure to classical ML or DL in production.
• - Prior experience in early-stage/startup environments
• - Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
• Understanding of cloud platforms (Azure preferred).