ML Engineer

TVS Next is hiring a ML Engineer in Chennai, Tamil Nadu, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• You will join our high-performance Data & AI engineering team and contribute to designing, developing, and deploying scalable Machine Learning solutions that power intelligent enterprise applications and AI-driven business outcomes
• Develop, train, evaluate, and deploy Machine Learning models for enterprise and product use cases
• Design and implement solutions for regression, classification, clustering, anomaly detection, and predictive analytics
• Build reusable feature engineering, data preprocessing, and model training pipelines
• Work with large-scale structured and unstructured datasets using Python and SQL
• Collaborate with Data Engineers and AI Engineers to productionize Machine Learning models
• Build end-to-end ML pipelines covering data ingestion, training, validation, deployment, inference, monitoring, and automated retraining
• Deploy Machine Learning models as REST APIs using FastAPI, Flask, or similar frameworks
• Optimize models for accuracy, scalability, reliability, and production performance
• Monitor deployed models for prediction quality, model drift, and retraining

What they are looking for

• Containerize ML applications using Docker and support automated deployments through CI/CD pipelines
• Participate in architecture discussions, code reviews, technical documentation, and continuous improvement initiatives
• Collaborate with Product Managers, Software Engineers, Data Engineers, and business stakeholders to deliver AI-driven solutions
• What We Seek In You
• 3+ years of experience in Machine Learning Engineering, Applied AI, or Data Science
• Strong proficiency in Python, SQL, Scikit-learn, TensorFlow or PyTorch, NumPy, and Pandas
• Strong understanding of supervised and unsupervised learning, regression, classification, clustering, anomaly detection, feature engineering, model evaluation, and hyperparameter tuning
• Hands-on experience building and deploying Machine Learning models using FastAPI or Flask REST APIs

Pay and dates

The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “3 months ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: ML Engineer at TVS Next. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.