Product Engineer (AI Engineer)

EsperGroup; Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

EsperGroup in Chennai is seeking a skilled AI Engineer to build and integrate AI, ML, NLP, and LLM capabilities into production-ready products. This hybrid full-time role offers the opportunity to work on innovative AI-powered solutions.

The ideal candidate will have strong experience in Python, machine learning, and data science, with a focus on developing production systems. A passion for working with data across its lifecycle is essential.

Qualifications

• Strong Python, data science, machine learning, NLP, SQL, and data analysis experience.
• Hands-on proficiency with PyTorch, Scikit-learn, NLTK, SpaCy, Hugging Face.
• Experience integrating ML/NLP models into production systems.

Responsibilities

• Build AI-powered, data-driven product capabilities across the full model lifecycle.
• Develop, evaluate, and integrate ML, NLP, LLM, and transformer-based workflows.
• Partner with engineering teams to productionize AI features.

Skills

Python

Data science

Machine learning

NLP

SQL

Data analysis

PyTorch

Scikit-learn

NLTK

SpaCy

Hugging Face

Job description

Build and integrate AI, ML, NLP, LLM, and data science capabilities into production-ready Predigle products.

AI Engineering Chennai / Hybrid Hybrid Full-time

Responsibilities

• • Build AI-powered, data-driven product capabilities across the full model lifecycle.
• • Develop, evaluate, and integrate ML, NLP, LLM, and transformer-based workflows into products.
• • Work with structured and unstructured data across preprocessing, analysis, and model deployment.
• • Partner with engineering teams to productionize AI features with reliable data contracts.

Requirements

• • Strong Python, data science, machine learning, NLP, SQL, and data analysis experience.
• • Hands-on proficiency with PyTorch, Scikit-learn, NLTK, SpaCy, Hugging Face, and LLM workflows.
• • Experience integrating ML/NLP models into production systems.
• • Exposure to cloud platforms, MLOps tools, CI/CD, DevOps, or agentic AI frameworks is a plus.