Live opening · Posted 2 days ago
At a glance
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About the role
Description supplied by the original job listing.
Company Description Aenrox Engineering is a deep-tech AI, robotics, and automation company focused on building intelligent engineering solutions using Artificial Intelligence, Machine Learning, IoT, product design, and smart manufacturing technologies. Operating as an innovation-led R&D lab in Pune, Aenrox bridges academic research with deployable technology through structured experimentation and product-oriented development. The team develops applied AI systems, intelligent automation frameworks, and integrated hardware–software solutions for real-world applications. Aenrox actively collaborates with students, engineers, and researchers to turn innovative concepts into functional prototypes and scalable technologies. High-potential projects are further nurtured into commercial-ready products through structured development programs and royalty-based collaboration models within a growing technology community.
Role Description The Artificial Intelligence Intern will support the design, development, and testing of AI and machine learning models used in robotics and automation solutions. Day-to-day tasks include data collection and preprocessing, building and evaluating models, and assisting in integrating algorithms with software and hardware prototypes. The intern will collaborate with engineers and researchers on experimentation, documentation, and performance analysis of AI-driven systems. Responsibilities also include reviewing literature, preparing technical reports, and contributing to proof-of-concept implementations aligned with ongoing R&D projects. This is an internship role and is fully remote, offering flexible collaboration with the core team and broader research community.
Qualifications
Strong foundation in Computer Science and related engineering or technical disciplines.
Proficiency in Machine Learning and Data Science concepts, including model development and evaluation.
Programming skills in languages commonly used for AI (e.g., Python, C++), and familiarity with relevant libraries or frameworks.
Analytical skills for problem-solving, data analysis, and interpreting experimental results.
Currently enrolled in or recently completed a degree in Computer Science, Engineering, Data Science, or a related field.
Interest in AI, robotics, automation, and applied research, with the ability to learn new tools and technologies quickly.
Effective written and verbal communication skills, and ability to work independently in a remote, collaborative environment.
Experience with basic statistics, version control (e.g., Git), and handling structured and unstructured data is an advantage.
Work arrangement
Yes
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