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Intern Applied AI Researcher @ Spyne

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 Intern Applied AI Researcher

Job Description

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: Internet
Functional Area / Department: Research & Development
Role Category: Research & Development - Other
Role: Research & Development - Other
Employement Type: Full time

Contact Details:

Company: Spyne
Location(s): Noida, Gurugram

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Keyskills:   Computer science C++ Automation Product engineering Image processing Debugging Internship Automotive CRM Python

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