AI/ML Intern

MediKloud; Visakhapatnam; On-site; INR 600,000 - 1,000,000; Full time

Job summary

MediKloud in Visakhapatnam, India, seeks an enthusiastic AI/ML learner from the Batch 2025/2026/2027 to help create and deploy models that solve real business challenges. You will own end-to-end machine learning workflows, perform data cleaning and feature selection, and refine models to meet quality standards.

You’ll work with modern frameworks and collaborate to push solutions into production. You'll study applications of ML, deep neural networks, and generative AI and integrate new AI

Responsibilities

• Contribute to the creation and deployment of artificial intelligence and machine learning models that solve actual business challenges
• Handle data cleaning, transformation, and selection of relevant features to improve model performance
• Assess and refine trained models to ensure they meet quality standards
• Study applications of machine learning, deep neural networks, and generative AI in practice
• Develop AI solutions and integrate them into applications already in use
• Partner with colleagues to test deployed models, fine-tune their behavior, and push them live
• End-to-end machine learning workflows from raw data to production systems
• Hands-on implementation using modern frameworks and libraries

Job description

Batch: 2025/2026/2027.

About the role

• Contribute to the creation and deployment of artificial intelligence and machine learning models that solve actual business challenges
• Handle data cleaning, transformation, and selection of relevant features to improve model performance
• Assess and refine trained models to ensure they meet quality standards
• Study applications of machine learning, deep neural networks, and generative AI in practice
• Develop AI solutions and integrate them into applications already in use
• Partner with colleagues to test deployed models, fine-tune their behavior, and push them live

What you'll work on

• End-to-end machine learning workflows from raw data to production systems
• Hands-on implementation using modern frameworks and libraries