Qureos Mentor

Infinite Technology Solutions

AI/ML Internship Job Description (4-Month Training)Position: AI/ML Intern Duration: 4 Months (Full-time) Type: Internship with Training Certificate &amp; Project Portfolio Start Date: Immediate (Flexible for Students)Position OverviewAssist in developing machine learning models, data preprocessing, and AI research projects for real-world applications. Gain hands-on experience with Python, TensorFlow/PyTorch, and deployment workflows while contributing to production-ready AI solutions. Ideal for final-year students or fresh graduates building AI/ML portfolios.&#8203;Key Responsibilities<ul><li>Perform data cleaning, feature engineering, and preprocessing using Pandas/Numpy for ML tasks.&#8203;</li><li>Train, tune, and evaluate models with Scikit-learn, TensorFlow/Keras, or PyTorch on supervised/unsupervised datasets.&#8203;</li><li>Assist in AI model deployment strategies, including Flask/Docker basics and cloud workflows (AWS/Azure intro).&#8203;</li><li>Conduct research on AI trends, analyze datasets, and document experiments/findings.&#8203;</li><li>Collaborate with engineering teams on model testing, optimization, and technical reports.&#8203;</li><li>Build 2-3 portfolio projects (e.g., predictive models, NLP tasks) with mentor guidance.</li></ul>Required Skills &amp; QualificationsCategoryRequirementsProgrammingPython proficiency; familiarity with Pandas, NumPy, Scikit-learn &#8203;ML KnowledgeUnderstanding of algorithms (regression, classification, clustering); basic deep learning &#8203;Math/StatsLinear algebra, calculus, probability; SQL basics &#8203;ToolsTensorFlow/PyTorch (beginner level), Git; bonus: cloud platforms &#8203;Soft SkillsProblem-solving, communication, teamwork; curiosity for AI research &#8203;EducationPursuing B.Tech/M.Tech CS/Data Science/AI (3rd/4th year preferred) &#8203;No prior professional experience required; personal projects or coursework suffice.&#8203;Internship Structure &amp; TrainingWeekly Breakdown (16 Weeks Total):<ul><li>Weeks 1-4: Data handling, ML fundamentals, 1st project (e.g., classification model).</li><li>Weeks 5-8: Deep learning, model optimization, 2nd project (e.g., computer vision).</li><li>Weeks 9-12: Deployment, research, advanced topics (NLP/RL intro).</li><li>Weeks 13-16: Capstone project, presentation, portfolio review.</li></ul>Benefits:<ul><li>Mentorship from industry experts.</li><li>Completion certificate &amp; LinkedIn recommendation.</li><li>Access to datasets, GPU resources, and code repositories.</li><li>Networking with AI professionals.</li></ul>Application ProcessSubmit resume, GitHub/portfolio, and 1-page cover letter. Shortlisted candidates complete a 1-hour Python/ML coding test. Interviews focus on problem-solving over experience.Job Type: Full-timePay: &#8377;273,906.01 - &#8377;1,433,495.37 per yearWork Location: In person

AI & ML Internship

Join Infinite Technology Solutions and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Infinite Technology Solutions

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AI & ML Internship