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Company Description
Hartalkar Innovations is a trailblazing startup in the electric vehicle (EV) industry, dedicated to revolutionizing sustainable mobility. By designing cutting-edge EV solutions, the company focuses on minimizing environmental impact and promoting energy efficiency. Committed to a greener future, Hartalkar's innovations significantly contribute to reducing carbon footprints and improving air quality. The company is actively advancing EV technology, expanding charging infrastructure, and aligning with global efforts for a cleaner, more sustainable transportation ecosystem.
Role Description
This is a full-time hybrid internship for an AI, Machine Learning, Backend, and Mechatronics professional, located in Jabalpur with flexibility for hybrid work internship. The role involves designing, developing, and implementing AI and machine learning models, working on backend system development and architecture, and integrating mechatronics systems into electric vehicle solutions. The candidate will collaborate closely with cross-functional teams to innovate and enhance the technological capabilities of Hartalkar’s EV products. Day-to-day tasks will include coding, testing, debugging, and optimizing systems to ensure performance efficiency and reliability.
Qualifications
- Proficiency in AI and Machine Learning, including algorithm development, data analysis, and model deployment
- Strong expertise in backend development, such as APIs, databases, server-side functionality, and cloud platforms
- Knowledge of mechatronics systems, including sensor integration, hardware-software interfacing, and robotics
- Solid understanding of programming languages like Python, Java, or C++
- Ability to troubleshoot, debug, and optimize software and hardware systems
- Familiarity with electric vehicle technology and energy-efficient systems is an advantage
- Strong problem-solving skills, attention to detail, and a collaborative mindset
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mechatronics, or a related field
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