AI/ML Engineer

Key Responsibilities:

• Guide scholars through the full AI/ML development cycle—from problem definition, data exploration, and model selection to evaluation and deployment.


Teach and assist in building:
• Supervised and unsupervised machine learning models.
• Deep learning networks (CNNs, RNNs, Transformers).
• NLP tasks such as classification, summarization, and Q&A systems.


Provide mentorship in Prompt Engineering:
• Craft optimized prompts for generative models like GPT-4 and Claude.
• Teach the principles of few-shot, zero-shot, and chain-of-thought prompting.
• Experiment with fine-tuning and embeddings in LLM applications.


• Support scholars with real-world datasets (e.g., Kaggle, open data repositories) and help integrate APIs, automation tools, or ML Ops workflows.
• Conduct internal training and code reviews, ensuring technical rigor in projects.
• Stay updated with the latest research, frameworks, and tools in the AI ecosystem.

Technical Requirements:

• Proficiency in Python and ML libraries: scikit-learn, XGBoost, Pandas, NumPy.
• Experience with deep learning frameworks: TensorFlow, PyTorch, Keras.
• Strong command of machine learning theory, including:
• Bias-variance tradeoff, regularization, and model tuning.
• Cross-validation, hyperparameter optimization, and ensemble techniques.
• Solid understanding of data processing pipelines, data wrangling, and visualization (Matplotlib, Seaborn, Plotly).


Advanced AI & NLP
• Experience with transformer architectures (e.g., BERT, GPT, T5, LLaMA).
• Hands-on with LLM APIs: OpenAI (ChatGPT), Anthropic, Cohere, Hugging Face.
• Understanding of embedding-based retrieval, vector databases (e.g., Pinecone, FAISS), and Retrieval-Augmented Generation (RAG).
• Familiarity with AutoML tools, MLflow, Weights & Biases, and cloud AI platforms (AWS SageMaker, Google Vertex AI).


Prompt Engineering & GenAI
• Proficiency in crafting effective prompts using:
• Instruction tuning
• Role-playing and system prompts
• Prompt chaining tools like LangChain or LlamaIndex
• Understanding of AI safety, bias mitigation, and interpretability.

Required Qualifications:

• Bachelor’s degree from a Tier-1 Engineering College in Computer Science, Engineering, or a related field.
• 2-5 years of relevant experience in ML/AI roles.
• Portfolio of projects or publications in AI/ML (GitHub, blogs, competitions, etc.)
• Passion for education, mentoring, and working with high school scholars.
• Excellent communication skills, with the ability to convey complex concepts to a diverse audience.

Preferred Qualifications:

• Prior experience in student mentorship, teaching, or edtech.
• Exposure to Arduino, Raspberry Pi, or IoT for integrated AI/ML projects.
• Strong storytelling and documentation abilities to help scholars write compelling project reports and research summaries.