We are looking for an Intern - Applied AI Researcher with a strong foundation in AI, ML, Computer Vision, and Deep Learning to join our Product & Technology Research Team . You will work on developing cutting-edge AI models that transform millions of e-commerce, automotive, food, and real estate raw images into high-quality, processed visuals.
As an intern, you will get hands-on exposure to state-of-the-art research , experimenting with the latest AI models and frameworks . You will collaborate with experienced AI engineers and researchers to develop, test, and deploy AI-driven solutions that directly impact businesses worldwide.
Location : Gurugram (Work from Office, 5 days a week)
Role : Internship, Applied AI Researcher (6 months preferred)
What Will You Do?
Explore & Experiment with AI Research - Read and analyze latest research papers , implement new techniques, and experiment with available AI models.
Prototype & Validate AI Solutions - Assist in developing and testing deep learning models for image enhancement and transformation.
Work on GAN Architectures - Gain hands-on experience with Generative Adversarial Networks (GANs) and their applications.
Collaborate with Data Teams - Support in setting up data pipelines and ensuring AI models are continually trained and optimized.
Work with Product & Engineering Teams - Help build AI tools that can be utilized by internal and external stakeholders for real-world applications.
Optimize AI Models for Deployment - Assist in making AI models scalable, fast, and reliable with guidance from senior engineers.
Contribute to AI Democratization - Work on AI capabilities that enable businesses to innovate and succeed with AI-powered automation.
What You Must Have?
Education & Experience
BTech / MTech in Computer Science, AI, or related field (Tier-1/Tier-2 universities preferred).
Previous internship experience in AI, Computer Vision, or Deep Learning is a plus.
Technical Skills
Basic experience with GANs - Familiarity with Generative Adversarial Networks (GANs) for image processing tasks.
Proficiency in Deep Learning Frameworks - Exposure to TensorFlow / PyTorch for AI model development.
Hands-on with Image Processing Libraries - Experience with OpenCV, PIL, and other Python-based libraries .
Programming & Debugging - Strong foundation in Python, C/C++, or C# with debugging capabilities.
Research-Oriented Approach - Ability to read AI research papers and implement key concepts.
Problem-Solving & Collaboration
Strong analytical and problem-solving skills with a research-driven mindset.
Ability to work with cross-functional teams , including data engineers and AI researchers.
Good communication skills to effectively convey technical ideas.
Work Setup & Mindset
Eager to learn and grow in an AI research-driven environment .
Proactive approach to problem-solving and collaboration.
Comfortable working in an in-office, high-performance setup .
Job Classification
Industry: InternetFunctional Area / Department: Research & DevelopmentRole Category: Research & Development - OtherRole: Research & Development - OtherEmployement Type: Full time