Highlights
Real-world experience building production-adjacent AI systems, mentorship from industry experts, strong portfolio for future job applications.
Description
Job Summary
pJoin our dynamic development team in Hyderabad and work closely with expert ML/AI engineers on real-world projects. This internship focuses on computer vision, multimodal learning, agentic systems, and RAG pipelines, allowing you to contribute meaningfully from day one.
Responsibilities
- Assist with dataset collection, labeling, and augmentation
- Run and evaluate pre-trained models (YOLO, ResNet, SAM, CLIP)
- Support model fine-tuning and performance benchmarking
- Write, test, and refine prompts for agent workflows
- Explore and test vision-language models such as LLaVA, BLIP-2
Required Skills
- Familiarity with Python scripting
- Understanding of NLP concepts
- Experience with Git version control
- Basic knowledge of machine learning frameworks
- Good communication skills
Required Skills Explained
- Python basics - Understanding how to write scripts, run notebooks, and comprehend existing code.
- Familiarity with ML/DL concepts - Even from coursework or self-study can be valuable.
- Tools like Jupyter, Google Colab, HuggingFace, or OpenAI API - Exposure to these tools is beneficial for the role.
- Basic understanding of NLP, computer vision, or LLMs - Any depth of knowledge in these areas will be useful.
- Comfortable using Git for version control - Proficiency with version control systems like Git is essential.
Who is this for
pWe are seeking interns who have a genuine interest in AI, logical thinking abilities, and the drive to contribute effectively. Whether you're a final-year student or recent graduate, we welcome your application.
Why This Job is a Good Opportunity
ulliHands-on experience working directly alongside expert ML/AI Engineers and AI Agent Engineers.liContribute to real deliverables, not just observe, in areas such as computer vision, multimodal learning, agentic systems, and RAG pipelines.liFlexibility in track choice based on interests, background, and team priorities.liAchieve meaningful work by the end of the internship that can be showcased for future job applications.
Interview Preparation Tips
- Highlight your curiosity and logical thinking skills with specific examples from previous projects or studies.
- Showcase your experience with Python, ML/DL concepts, and Git through concrete examples or projects you have worked on.
- Prepare to discuss how you handle feedback and demonstrate your ability to apply it quickly.
- Research the latest advancements in AI systems and be ready to talk about them.
Career Growth in This Role
pThe internship offers a solid foundation for a career in AI, particularly in areas like computer vision, natural language processing (NLP), and multimodal learning. The hands-on experience with real-world projects can provide valuable insights into the AI product lifecycle, from idea conception to deployment. Additionally, mentoring from experienced ML/AI engineers will help you develop advanced technical skills and deepen your understanding of complex systems.pUpon successful completion, this internship may lead to full-time opportunities within the company or open doors for further specialized roles in the tech industry, such as software engineer, data scientist, or AI researcher. The exposure gained during the internship can significantly enhance your resume and make you a competitive candidate for advanced positions.
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Skills
Frequently Asked Questions
What are the requirements for applying?Final-year students or recent graduates in Computer Science, AI, Data Science, Electronics, Mathematics or related fields can apply.
How long is the internship period?This is a 6-month hands-on project-driven internship program.
What kind of support will I receive during the internship?You'll be mentored by experienced ML/AI engineers and have opportunities for real-world learning in AI systems development.
