Post-Internship Commitment: Upon being shortlisted for a live project and receiving the stipend, a minimum service period of 1 year with the company is required. Should you choose to exit the company before completing this 1-year service period, a penalty of ₹360,000 will be applicable. Key Responsibilities: Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development, training, and evaluation of various ML models. Conduct research on different machine learning algorithms and techniques. Collaborate with senior engineers and data scientists on ongoing projects. Help in deploying and monitoring machine learning models. Document code, experiments, and findings clearly and concisely. Actively participate in team meetings and learning sessions.
Qualifications: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related technical field. Solid foundational understanding of machine learning concepts and algorithms.
Proficiency in at least one programming language commonly used in ML (e.g., Python, R). Familiarity with relevant ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Basic understanding of data structures and algorithms. Ability to learn quickly and adapt to new technologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.
What We Offer: A challenging and rewarding 3-month intensive training experience. Mentorship from experienced Machine Learning Engineers and Data Scientists. Exposure to real-world datasets and cutting-edge ML technologies. Opportunity to work on diverse projects that impact our business. Potential to be assigned to live projects with a monthly stipend of ₹30,000 upon successful training completion. A collaborative and supportive learning environment.