AI/ML Mentor

Experience:

4–5+ years | Role:

AI/ML Mentor | Work Mode:

Full-time

Role Overview

We are looking for an AI/ML Mentor with robust hands-on expertise across Machine Learning, Deep Learning, Generative AI, and AI application development. The role combines learner mentoring with technical academic responsibilities

, including session delivery, query handling, doubt sessions, project creation and evaluation, and assessment development.

Key Responsibilities:

- Deliver AI/ML sessions with strong conceptual clarity, hands-on coding, and real-world industry use cases.
- Conduct doubt-clearing and mentoring sessions and provide timely technical guidance.
- Handle and resolve learner technical queries through defined support channels.
- Create and maintain AI/ML projects, use cases, datasets, and project documentation aligned with industry requirements.
- Evaluate learner projects, code, implementations, presentations, and technical understanding using defined rubrics.
- Create and maintain assessments, coding exercises, assignments, and scenario-based technical questions .

- Guide learners across the complete journey: Learning → Practice → Assessment → Project → Evaluation .

- Support learners in implementing AI/ML solutions from problem understanding to deployment.
- Identify recurring learner challenges and contribute to improvements in curriculum, projects, assessments, and learning content .

- Ensure consistency in technical accuracy,



delivery quality, evaluation standards, and learner experience .

Tools and Technology

Core:

Python | SQL | Pandas | NumPy | Matplotlib/Seaborn | Scikit-learn | Statistics | Machine Learning | Feature Engineering | Model Evaluation

Deep Learning & AI:

PyTorch / TensorFlow | Neural Networks | CNN | Computer Vision | NLP | Transformers

Generative AI:

LLMs | Prompt Engineering | RAG | Vector Databases | LangChain / LlamaIndex | AI Agents | Multimodal AI

Development & Deployment:

Flask / FastAPI | REST APIs | Git/GitHub | Docker | MLOps | Model Deployment

Cloud – AWS:

AWS AI/ML services | SageMaker | S3 | IAM | Cloud-based Model Deployment | Basic AWS Architecture

Key Requirements:

- Strong hands-on expertise in AI/ML and Deep Learning .

- Practical experience with NLP, Transformers, LLMs, RAG and/or AI Agents .

- Ability to build practical AI/ML projects and assessments .

- Strong experience in query handling, project evaluation, doubt sessions, and learner mentoring .

- Excellent technical communication with the ability to simplify complex concepts.
- Ability to connect technical concepts with real-world AI applications and production workflows .

- Exposure to AWS and MLOps/deployment is preferred.

Role Success Criteria AI/ML Expertise | Clear Delivery | Query Resolution | Project & Assessment Quality | Learner Mentoring | Industry Relevance

📌 AI/ ML Mentor (Chennai)
🏢 HCL GUVI
📍 Chennai