Are you a recent graduate or final-year student passionate about artificial intelligence and machine learning? The AI Engineering Internship at Skypoint offers an unparalleled opportunity to dive deep into cutting-edge technologies like Generative AI, LLMs, and Agentic AI frameworks. This 6-month, on-site internship in Bangalore provides hands-on experience with real-world AI applications in healthcare, working alongside experienced data scientists and engineers in a fast-growing, award-winning company.
If you have a strong foundation in Python programming and prior experience with AI/ML projects, this AI Engineering Internship is your gateway to mastering the technologies shaping the future of artificial intelligence. Join a company ranked #26 in Deloitte’s Fast 500 and help accelerate productivity in healthcare through innovative AI solutions.
Why Skypoint’s AI Internship Accelerates Your Career
Skypoint stands at the forefront of data unification and agentic AI platforms, specifically designed to transform healthcare organizations. As an AI Engineering Intern in Bangalore, you’ll join a company that has experienced remarkable growth since its 2020 founding, now serving over 100 customers with a team of 75+ employees. Skypoint’s recognition in Deloitte’s Fast 500 and receipt of the Portland Business Journal’s Healthcare Innovation Award demonstrates their commitment to excellence and innovation in the AI space.
Your Role: Hands-On AI Development Experience
This internship is designed for curious and passionate individuals ready to expand their skills in the most exciting areas of artificial intelligence. You’ll work closely with Data Science and Engineering teams, gaining practical experience across the entire AI development lifecycle.
Your key responsibilities will include:
- AI Model Development: Support the development and fine-tuning of advanced AI/ML models and pipelines
- Data Preparation: Work on crucial data preparation, feature engineering, and model evaluation tasks
- Generative AI Exploration: Experiment with Large Language Models (LLMs), Generative AI, and Multi-Agent frameworks
- RAG System Development: Contribute to building sophisticated Agentic Retrieval-Augmented Generation (RAG) and Transformer-based AI solutions
- Production Integration: Collaborate with engineering teams to integrate AI models into production environments using Azure and Databricks
- Research Documentation: Assist in documenting research findings, experiments, and model performance results
- Technology Monitoring: Stay updated with the latest trends in AI, ML, and MLOps technologies to ensure cutting-edge solutions
Required Skills and Qualifications
This internship seeks candidates with both technical proficiency and a genuine passion for artificial intelligence.
Technical Requirements:
- Strong foundation in Python programming
- Basic understanding or exposure to Databricks, Azure, or similar cloud platforms
- Prior hands-on experience through AI/ML projects, internships, or research work
- Strong analytical and problem-solving skills
- Eagerness to learn and experiment with cutting-edge AI technologies
AI Technology Exposure:
- Agents and Multi-Agent Systems
- Large Language Models (LLMs)
- Generative AI
- Agentic RAG
- Transformers and NLP Models
- MLOps tools and practices
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Eligibility and Preferred Qualifications
Eligibility Criteria
- Recent graduates or final-year students in Computer Science, Information Technology, or related fields
- Must be able to work in day shifts
- Available to commit for the full 6-month internship duration
- Demonstrated passion for AI and machine learning technologies
Preferred Qualifications
- Bachelor’s or master’s degree (completed) in Computer Science, Data Science, AI/ML, or related fields
- Relevant certifications in AI, machine learning, or cloud platforms
- Proven track record of AI/ML project work or research experience
Internship Benefits
- Competitive Stipend: A paid internship with attractive financial compensation
- Structured Learning: Comprehensive skill development program throughout the 6-month period
- Industry Recognition: Add experience with an award-winning AI company to your resume
- Networking Opportunities: Connect with professionals in the rapidly growing AI healthcare sector
Skill Development Pathway
| Starting Competencies | Advanced Skills You’ll Master |
|---|---|
| Basic Python Programming 🐍 | Production-grade AI model development and deployment |
| Theoretical AI Knowledge 🤖 | Practical implementation of Generative AI and LLMs |
| Academic Projects 📚 | Real-world healthcare AI applications at scale |
| Individual Learning 👤 | Collaborative development in professional AI teams |
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Technology Stack Exposure
- Programming: Advanced Python for AI/ML
- Cloud Platforms: Azure and Databricks for scalable AI solutions
- AI Frameworks: Transformer models, LLMs, and Agentic systems
- MLOps: Production deployment and monitoring practices
- Tools: Industry-standard AI development and deployment tools
Application Process and Timeline
Internship Details
- Duration: 6 months of intensive, hands-on AI engineering experience
- Location: On-site in Bangalore, Karnataka
- Schedule: Day shifts with commitment to full internship period
- Start Date: Flexible based on candidate availability and company needs
How to Prepare Your Application
- Highlight your Python programming experience and specific AI/ML projects
- Demonstrate your understanding of Generative AI concepts and technologies
- Showcase any cloud platform experience with Azure or Databricks
- Emphasize your problem-solving abilities and analytical thinking
- Express your passion for AI and eagerness to learn cutting-edge technologies
How to Apply for This AI Engineering Internship
Ready to launch your AI career with an award-winning company at the forefront of healthcare technology? This AI Engineering Internship at Skypoint offers the perfect blend of learning, practical experience, and professional growth in one of the most exciting fields in technology.
Click the “Apply Now” button below to:
- Submit your application for the Bangalore-based AI Engineering Internship
- Take the first step toward mastering Generative AI and LLM technologies
- Join a company recognized for innovation and rapid growth
- Start building AI solutions that make a real difference in healthcare
Don’t just learn about AI—build production-ready AI systems that transform healthcare organizations. Apply for the AI Engineering Internship at Skypoint today and position yourself at the forefront of the AI revolution!
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