AI Intern

Company Description

This is a learning-focused internship at Aenrox, designed to provide hands-on experience through real-world projects. The role offers non-monetary benefits, including practical exposure, skill development, and portfolio-building opportunities.

Aenrox is a deep tech startup based in Pune, India, specializing in artificial intelligence, robotics, automation, and advanced engineering. Recognized as an emerging leader in the field, the company operates as an innovation-driven R&D lab, converting academic research into real-world, scalable technologies. Aenrox develops applied AI systems, automation frameworks, and integrated hardware-software solutions, while fostering collaboration with students, engineers, and researchers. With a strong focus on structured research and product-oriented development, Aenrox aims to turn high-potential innovations into commercially viable solutions and contribute to India's growing innovation ecosystem.

Role Description

This is a remote internship role for an AI Intern. The intern will work on tasks such as developing and optimizing machine learning models, analyzing data, implementing algorithms, and supporting research for innovative AI-driven solutions. The role includes hands-on experimentation, software development, and collaboration with team members on practical and scalable projects in the domains of AI and robotics.

Qualifications

• Strong foundation in Computer Science and relevant theoretical concepts
• Proficiency in Machine Learning models and Data Science tools
• Solid Analytical Skills for problem-solving and data interpretation
• Experience with Programming languages, such as Python, R, or MATLAB
• Familiarity with robotics principles and automation is a plus
• Passion for innovation and eagerness to collaborate in a research-driven environment
• Strong adaptability to work both independently and as part of a remote team
• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field