AI Platform Development Intern

Company Introduction

FlintX, by UnlockData AI Technologies Private Limited, is at the forefront of innovation, transforming healthcare and finance sectors with cutting-edge decentralized AI solutions. In the case of healthcare sector, we harness the power of Federated Learning and Privacy-Enhancing Technologies to deliver personalized patient care while safeguarding data privacy. Our mission is to drive impactful change by bridging technology, privacy, and healthcare innovation. At FlintX, students have the opportunity to engage in groundbreaking projects, collaborate with industry leaders, and contribute to scalable solutions that shape the future of healthcare globally. Join us to make a difference where technology meets human well-being.

Job Function

Technology Research and Development

Job Description

As an AI Platform Development Intern, you will assist in the design, implementation, and optimization of our AI solutions platform. You will work closely with the team to build and enhance the framework, integrate AI models, and ensure seamless deployment in real-world applications. Your role will involve hands-on work with machine learning tools, federated learning, and privacy-preserving technologies to create scalable AI solutions for healthcare and other industries. You'll gain exposure to both the technical and operational aspects of AI platform development.

Key Responsibilities:

• Assist in developing and enhancing AI platforms and tools.
• Work on integrating machine learning models into the platform.
• Collaborate with cross-functional teams to ensure successful deployment.
• Support the optimization of AI models for scalability and performance.
• Contribute to the implementation of privacy-first AI solutions.
• Conduct testing and troubleshooting of AI systems.

Work Mode

Full-time, Part-time, Mix-mode (remain consistent within a calendar month)

Work Location

Onsite or Remote or Hybrid

Preferred Academic Disciplines

Engineering, Technology

Preferred Skills and Knowledge

• Strong foundation in Machine Learning and AI concepts, with hands-on experience using libraries like TensorFlow or PyTorch;
• Proficiency in Python programming for AI/ML development;
• Familiarity with Federated Learning or Privacy-Enhancing Technologies is a strong plus;
• Analytical and problem-solving skills, with the ability to work independently;
• Passion for technological innovation and applying AI to solve real-world challenges.