AI/ML Devs Intern

About the Role

TenseAi, backed by NVIDIA and SARVAM AI, is an AI workforce platform that turns ideas into actions for enterprises, businesses, and professionals. It automates workflows and executes tasks with intelligent AI agents across sales, marketing, customer support, research, CRM, and operations. The company’s mission is to put busywork on autopilot for over a billion knowledge workers and help organizations achieve more with AGI. TenseAi is privacy-first by design, ensuring that data stays on the user’s device with no surveillance or data selling. Built by RecoilLife Private Limited, an AI research lab based in Noida, the team is focused on making AGI work for real people, not just technical teams.

This is an internship role and is fully remote, offering flexibility and exposure to cutting-edge AI research and product development.

Key Responsibilities

• Support the design, development, and testing of AI agents and workflows that automate business processes across multiple domains.
• Experiment with machine learning models.
• Write and review code.
• Integrate APIs and tools.
• Contribute to the optimization of existing AI pipelines.
• Collaborate with the product and engineering teams to understand user needs, translate them into technical requirements, and help improve the reliability and performance of TenseAi’s platform.

Requirements & Tech Stack

• Programming skills in languages commonly used for AI/ML (such as Python) and familiarity with relevant libraries or frameworks.
• Foundational software development skills, including version control, testing, and debugging.
• Interest or exposure to sales or business workflows, with the ability to understand use cases across operations, CRM, and customer support.

Qualifications

• Strong analytical skills to interpret data, evaluate model performance, and solve complex technical problems.
• Effective communication skills to document work clearly and collaborate with cross-functional teams.
• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
• Basic understanding of machine learning concepts, algorithms, and model evaluation techniques.
• Ability to work independently in a remote setting, manage time effectively, and learn quickly in a fast-paced environment.