Teams at TVS Next

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.

Design, develop, train, deploy, and maintain production-grade AI/ML solutions. Build predictive, classification, recommendation, and automation systems; prepare and feature-engineer data; create scalable model-serving APIs; deploy with containers and CI/CD; monitor model performance and drift; apply Responsible AI principles; collaborate with product, engineering, and stakeholders in Agile delivery.

Design, deploy, monitor, and maintain production machine learning systems and end-to-end ML pipelines. Build scalable MLOps frameworks, automate deployments and retraining, manage cloud-native infrastructure and CI/CD, implement IaC, containerization, monitoring, and governance, and collaborate with cross-functional teams to ensure reliable, compliant enterprise AI platforms.