AI & ML Intern

About Qubitara: Qubitara Technologies Private Limited, founded in August 2024 and headquartered in Bangalore, is a dynamic company specializing in Data Engineering, Infrastructure Modernization, and Software Development . Our team of certified professionals works collaboratively to deliver comprehensive solutions tailored to each client's unique needs. Join us in our mission to transform businesses through innovative data and software solutions. About Qubitara Solara At Qubitara, we are building a cutting-edge AI & ML platform that leverages the power of machine learning to drive business outcomes. As an AI & ML Intern, you will be part of this exciting journey, working closely with our team of experts to develop innovative solutions that transform industries. Key Responsibilities: • Collaborate with cross-functional teams to design and develop AI & ML models • Work on developing predictive analytics models using various machine learning algorithms • Assist in data preprocessing, feature engineering, and model evaluation • Participate in code reviews and contribute to the development of high-quality software • Stay up-to-date with industry trends and advancements in AI & ML technologies. What We Offer: • Opportunity to work on cutting-edge AI & ML projects that drive business outcomes • Collaborative and dynamic work environment • Professional growth opportunities through training, mentorship, and knowledge sharing • Competitive compensation package • Flexible working hours and remote work options • Access to state-of-the-art infrastructure and tools • Recognition and rewards for outstanding performance. Requirements: • Bachelor's or Master's degree in Computer Science, AI & ML, Data Science, or related field • Strong foundation in machine learning algorithms and data structures • Experience with Python programming language and popular libraries such as TensorFlow, PyTorch, or Keras • Familiarity with cloud-based platforms like AWS, Google Cloud, or Azure • Excellent problem-solving skills and attention to detail • Strong communication and teamwork skills. Benefits: • Comprehensive health insurance coverage • 20 days of paid annual leave • 8 hours of flexible working hours per week • Access to employee assistance program (EAP) for mental well-being • Professional development opportunities through training, mentorship, and knowledge sharing.