Job Description

A Machine Learning (ML) Internship involves assisting in developing, training, and deploying AI models, focusing on data cleaning, algorithm implementation (using Python, TensorFlow, PyTorch), and supporting engineering teams with testing and production scaling, all while collaborating with experts and learning new techniques in a dynamic, real-world environment. Key duties include data preprocessing, model optimization, research, and performance monitoring, requiring strong programming, math, and problem-solving skills. Typical Responsibilities Data Handling: Clean, preprocess, and label datasets for model training. Model Development: Assist in designing, implementing, and testing machine learning algorithms. Research: Stay updated on new ML/AI advancements and suggest applications. Collaboration: Work with data scientists, engineers, and product teams. Deployment/Testing: Help with quality assurance, integration testing, and deploying models on cloud platforms (AWS, GCP, Azure). Code Contribution: Write code for autonomous systems and assist with debugging. Required Skills & Qualifications Education: Pursuing a degree in Computer Science, Data Science, Statistics, or a related quantitative field. Programming: Proficiency in Python and libraries like NumPy, Pandas, TensorFlow, or PyTorch. ML Fundamentals: Basic understanding of ML concepts, algorithms, and mathematical principles. Problem-Solving: Strong analytical and debugging skills. Soft Skills: Curiosity, strong communication, self-motivation, and teamwork. What You'll Gain Hands-on experience with real-world ML projects. Technical mentorship from industry experts. Exposure to MLOps, cloud platforms, and production environments. Opportunities to present work and network with professionals. Tamil candidates only
Job Types: Full-time, Fresher

Pay: ₹281,592.00 - ₹1,537,330.01 per year

Benefits:

Food provided
Work Location: In person