AI/ML Intern

Company Description TenseAi, backed by NVIDIA and SARVAM AI, is an AI workforce platform that transforms ideas into executable actions for enterprises, businesses, and professionals. The platform automates workflows and streamlines operations using intelligent AI agents across sales, marketing, customer support, research, CRM, and operations. With a mission to put busywork on autopilot for over a billion knowledge workers, TenseAi focuses on making AGI practical and impactful for real users. The company is privacy-first by design, ensuring that user data never leaves the device and is never sold or surveilled. TenseAi is built by RecoilLife Private Limited, an AI research lab based in Noida led by a dedicated team committed to advancing accessible, responsible AI.
Role Description The AI/ML Intern will support the development and evaluation of AI agents and workflows that power TenseAi’s autonomous workforce platform. Day-to-day responsibilities may include researching and prototyping machine learning models, experimenting with LLMs and other AI techniques, preparing and analyzing datasets, and assisting in building and testing workflows across domains such as sales, marketing, customer support, and operations. The intern will collaborate with engineers and researchers to implement, debug, and refine AI features, as well as document findings and present insights to the team. This is an internship role designed to provide hands-on experience with production-grade AI systems and privacy-first architectures. This is a remote role, offering flexibility to work from any location while maintaining regular collaboration with the core team.
Qualifications
Strong foundation in computer science concepts, data structures, and algorithms, with ongoing studies or a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Practical experience with programming languages commonly used in AI/ML (such as Python) and familiarity with relevant libraries and frameworks (for example, PyTorch, TensorFlow, or similar).
Understanding of machine learning fundamentals, including supervised and unsupervised learning, model training and evaluation, and basic statistics and probability.
Interest or experience in working with large language models, AI agents, workflow automation, or applied ML in areas like sales, marketing, customer support, research, or operations.
Ability to work with datasets, including data preprocessing, exploration, and basic feature engineering, with attention to data quality and privacy considerations.
Strong analytical and problem-solving skills, with the ability to learn quickly, experiment, and iterate based on feedback.
Clear written and verbal communication skills, including the ability to document experiments, explain technical concepts, and collaborate in a remote, cross-functional environment.
Demonstrated interest in privacy-preserving AI, ethical use of

Work arrangement
Yes