AI/ML Intern – Full-Stack AI Solutions Development

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

1. Build, train, and optimize machine learning models for various use cases.
2. Research and integrate Large Language Models (LLMs) and agent-based AI systems.

Application/Platform Development

1. Develop scalable applications or platforms to host AI/ML models.
2. Implement APIs or integrations to enable seamless interaction with AI systems.

End-to-End Solution Design

1. Collaborate with cross-functional teams to define product requirements and workflows.
2. Ensure high-quality delivery by testing and debugging applications and models.

Problem Solving and Optimization

1. Identify technical challenges and propose innovative solutions.
2. Optimize performance and scalability of AI models and applications.

Exploration of Emerging Technologies

1. Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
2. Experiment with state-of-the-art frameworks and libraries.

Requirements

Programming Skills

1. Proficiency in Python and at least one other programming language (e.g., C, Java, etc.).
2. Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

Experience in Application Development

1. Hands-on experience in building and deploying web or desktop applications.
2. Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

Machine Learning & AI Expertise

1. Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
2. Experience working with real-world datasets and developing models to solve practical problems.

LLM and Agentic Systems Exposure

1. Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
2. Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

Problem-Solving Skills

1. Strong analytical and critical thinking abilities to solve complex problems efficiently.
2. Ability to work independently or in a team to deliver innovative solutions under deadlines.

What You’ll Gain

1. Hands-on experience in designing and deploying AI-powered products from scratch.
2. Exposure to cutting-edge AI technologies and frameworks.
3. Mentorship from industry experts and an opportunity to work on impactful projects.

Duration:

Location:

Compensation: