AI/ML Intern

Eligibility Criteria

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.
• Strong foundation in programming (Python mandatory), data structures, and software engineering.
• Passion for AI, autonomous systems, and emerging technologies.

Key Responsibilities

• Design and develop Agentic AI workflows using LLMs, planners, and memory components.
• Build LLM applications using LangChain and LlamaIndex.
• Develop RESTful APIs using Django, Flask, or FastAPI.
• Implement RAG pipelines using vector databases and embeddings.
• Containerize applications using Docker and support Kubernetes deployments.

Selection Process / Rounds / Tests

Round 1: Application Screening — Details: Resume and qualification review | Topics: Academic background, AI/ML skills, Programming knowledge | Mode: Online | Purpose: Initial screening based on eligibility criteria

Round 2: Technical Assessment — Details: Evaluate AI/ML and programming knowledge | Topics: Python, Machine Learning, Deep Learning, NLP, LangChain | Mode: Online | Purpose: Assess technical proficiency

Round 3: Technical Interview — Details: Assess AI/ML, Python, and software development knowledge | Topics: Python, ML algorithms, NLP, LLMs, REST APIs, Docker, Kubernetes | Mode: Online / In-person | Purpose: Evaluate technical knowledge and problem-solving skills

Round 4: HR Interview — Details: Evaluate communication and cultural fit | Topics: Communication skills, Passion for AI, Teamwork | Mode: Online / In-person | Purpose: Final evaluation of soft skills