Associate Product Engineer (AI Engineer)

EsperGroup; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

EsperGroup is seeking an AI Engineer in Chennai for a hybrid full-time role focused on AI-powered product capabilities. You will support the development of innovative data-driven features, analyze diverse datasets, and collaborate with engineers to integrate AI outputs into application workflows.

The ideal candidate should have a strong foundation in Python, with experience in data science and machine learning, particularly familiar with tools such as PyTorch and Scikit-learn.

Qualifications

• Strong foundation in Python with exposure to data science, machine learning, and NLP.
• Familiarity with tools like PyTorch and Scikit-learn.
• Comfortable working with large datasets and SQL.

Responsibilities

• Support development of AI-powered product features.
• Analyze structured and unstructured datasets.
• Collaborate with product engineers to connect AI outputs to application workflows.

Skills

Python

Data Science

Machine Learning

Natural Language Processing (NLP)

Data Analysis

SQL

PyTorch

Scikit-learn

NLTK

SpaCy

Hugging Face

Tools

Cloud Platforms

MLOps Tools

CI/CD

Job description

Work on AI-powered, data-driven product capabilities from data analysis and model development through integration into production systems.

AI Engineering Chennai / Hybrid Hybrid Full-time

Responsibilities

• Support the development of AI-powered and data-driven product features.
• Prepare, clean, preprocess, and analyze structured and unstructured datasets.
• Assist with model development, NLP workflows, evaluation, and production integration.
• Collaborate with product engineers to connect AI outputs with application workflows.

Requirements

• Strong Python foundation with hands-on exposure to data science, machine learning, and NLP.
• Familiarity with PyTorch, Scikit-learn, NLTK, SpaCy, Hugging Face, LLMs, and transformer models.
• SQL and data analysis skills with comfort working across large datasets.
• Exposure to cloud platforms, MLOps tools, CI/CD, or AI-enabled product development is a plus.