Job Description:
We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.
Responsibilities
AI/ML Model Development
- Build, train, and optimize machine learning models for various use cases.
- Research and integrate Large Language Models (LLMs) and agent-based AI systems.
Application/Platform Development
- Develop scalable applications or platforms to host AI/ML models.
- Implement APIs or integrations to enable seamless interaction with AI systems.
End-to-End Solution Design
- Collaborate with cross-functional teams to define product requirements and workflows.
- Ensure high-quality delivery by testing and debugging applications and models.
Problem Solving and Optimization
- Identify technical challenges and propose innovative solutions.
- Optimize performance and scalability of AI models and applications.
Exploration of Emerging Technologies
- Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
- Experiment with state-of-the-art frameworks and libraries.
Requirements
Programming Skills
- Proficiency in Python and at least one other programming language (e.g., C, Java, etc.).
- Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.
Experience in Application Development
- Hands-on experience in building and deploying web or desktop applications.
- Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.
Machine Learning & AI Expertise
- Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
- Experience working with real-world datasets and developing models to solve practical problems.
LLM and Agentic Systems Exposure
- Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
- Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.
Problem-Solving Skills
- Strong analytical and critical thinking abilities to solve complex problems efficiently.
- Ability to work independently or in a team to deliver innovative solutions under deadlines.
What You’ll Gain
- Hands-on experience in designing and deploying AI-powered products from scratch.
- Exposure to cutting-edge AI technologies and frameworks.
- Mentorship from industry experts and an opportunity to work on impactful projects.
Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid