Gen AI / AIML Mentor

Role Overview

We are looking for a passionate and enthusiastic Gen AI / AIML Mentor to train and mentor aspiring students in Artificial Intelligence, Machine Learning, Data Science, and Generative AI. The ideal candidate should have strong technical fundamentals, hands-on project experience, and a passion for teaching and guiding freshers toward successful careers in the IT industry.

Responsibilities

• Deliver hands-on training sessions on Python, Machine Learning, Data Science, and Generative AI.
• Mentor students through real-world AI/ML projects and guide them in building industry-ready portfolios.
• Train students on AI tools, LLMs, Prompt Engineering, RAG, LangChain, Hugging Face, and related technologies.
• Conduct coding sessions, project reviews, doubt-clearing sessions, and technical assessments.
• Guide students in using Git, GitHub, and industry best practices for project development.
• Assist students in interview preparation through technical mock interviews and coding challenges.
• Collaborate with the placement team to ensure students are technically prepared for job opportunities.
• Stay updated with the latest AI technologies and continuously enhance the training curriculum.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 0–3 years of experience in AI/ML, Data Science, Python Development, or Generative AI.
• Strong knowledge of Python programming and Machine Learning fundamentals.
• Basic understanding of Generative AI, LLMs, Prompt Engineering, LangChain, RAG, or Hugging Face.
• Familiarity with SQL, Git/GitHub, and version control concepts.
• Good communication, presentation, and mentoring skills.
• Passion for teaching and helping students build successful technology careers.

Skills

• Python
• LangChain
• Machine Learning
• Generative AI
• LLMs

Nice to Have

• Hands-on experience with AI/ML or GenAI projects.
• Knowledge of cloud platforms such as GCP or AWS is an added advantage.
• Experience participating in hackathons, internships, or open-source projects.
• Certifications in AI, Machine Learning, Data Science, or Generative AI are preferred.

Benefits

• Professional growth and continuous learning opportunities.
• Opportunity to work with cutting-edge AI technologies.
• Collaborative and innovation-driven work environment.
• Chance to mentor future AI professionals and contribute to impactful learning experiences.