AI/ML Engineer

Yantran; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Yantran is seeking an AI/ML Engineer to build and deploy enterprise-grade AI solutions. The role focuses on designing ML models, transforming datasets, and delivering production-ready APIs.

You will collaborate with data scientists and software engineers, work on NLP and computer vision tasks, and optimize models with MLOps practices and containerized deployments. This position is based in Chennai, with opportunities to impact multiple enterprise applications.

Qualifications

• Proficiency in building ML models and AI applications.
• Dataset preparation and feature engineering for model development.
• Experience with predictive and classification modeling.
• Ability to deploy ML models into production environments.
• Develop and expose APIs for ML/AI applications.
• Familiarity with NLP, computer vision and GenAI aspects.
• Model monitoring and iterative improvement of accuracy.
• Collaborate with data scientists and software engineers on end-to-end solutions.
• Experience with ML pipelines and automation.

Responsibilities

• Design and develop ML models and AI applications.
• Prepare and transform datasets for model development.
• Develop predictive and classification models.
• Deploy machine learning models into production.
• Develop APIs for AI/ML applications.
• Work with NLP, computer vision, and GenAI solutions.
• Monitor model performance and improve accuracy.
• Collaborate with data scientists and software engineers.
• Implement ML pipelines and automation.

Skills

Python

Machine Learning

NLP and/or Computer Vision

SQL

REST APIs

Cloud platforms

ML pipelines

MLOps experience

Tools

TensorFlow

PyTorch

scikit-learn

Docker/Kubernetes

Job description

Seeking an AI/ML Engineer to develop, deploy, and maintain machine learning and artificial intelligence solutions for enterprise applications.

Responsibilities:

• Design and develop ML models and AI applications.
• Prepare and transform datasets for model development.
• Develop predictive and classification models.
• Deploy machine learning models into production.
• Develop APIs for AI/ML applications.
• Work with NLP, computer vision, and GenAI solutions.
• Monitor model performance and improve accuracy.
• Collaborate with data scientists and software engineers.
• Implement ML pipelines and automation.

Required Skills:

• Python.
• Machine Learning.
• TensorFlow/PyTorch/scikit-learn.
• NLP and/or Computer Vision.
• SQL.
• REST APIs.
• Cloud platforms.
• ML pipelines.
• Docker/Kubernetes preferred.
• MLOps experience preferred.