Student Intern

Role: Student Intern

Company: Sasha Innoworks Pvt. Ltd.

About the Role

Sasha Innoworks Pvt. Ltd. focuses on developing advanced automation solutions that enhance the efficiency and accuracy of industrial processes. The company leverages state-of-the-art technologies such as artificial intelligence, computer vision, and robotics to reduce manual errors and boost productivity across multiple sectors. One of its key innovations is ARPOD, an automated component identification system integrated with robotic arms for precise handling and placement of components. Image processing algorithms are used to accurately measure component dimensions, while deep learning models classify them for reliable operation. This is a full-time remote role, offering practical exposure to industrial automation and intelligent systems.

Key Responsibilities

• Support ongoing automation and AI projects by assisting with research, data collection, and documentation.
• Perform basic technical tasks under the guidance of senior team members.
• Prepare project reports.
• Organize datasets.
• Test system components.
• Contribute to process improvement ideas related to computer vision, robotics, and AI-based solutions.
• Collaborate with cross-functional teams.
• Attend virtual meetings.
• Help ensure project timelines and quality standards are met.

Qualifications

• Enrollment in or recent completion of a degree program in engineering, computer science, or a related technical field.
• Foundational knowledge or strong interest in artificial intelligence, computer vision, and robotics.
• Basic programming skills (e.g., Python, C/C++) and familiarity with data structures or algorithms.
• Ability to conduct structured research, analyze information, and document findings clearly.
• Strong written and verbal communication skills, with attention to detail and accuracy.
• Ability to work independently in a remote environment, manage time effectively, and collaborate in virtual teams.
• Interest in industrial automation, image processing, and deep learning applications.
• Prior academic or project experience is an advantage.