GEN AI & Machine Learning

Job Description:

Role Overview We are seeking a Subject Matter Expert (SME) in Artificial Intelligence and Machine Learning to lead and deliver corporate training programs. The ideal candidate will possess deep domain knowledge, real-world experience, and a strong passion for teaching and innovation. Key Responsibilities  Training Delivery: Conduct high-quality, in-depth AI/ML training sessions for corporate employees (on-site or virtually).  Curriculum Design: Collaborate with stakeholders to create and customize training modules tailored to business needs.  Project Development: Design industry-relevant, state-of-the-art AI/ML/Generative AI projects and hands-on tasks.  Assessment & Evaluation: Systematically evaluate learners' progress, conduct code reviews, and provide constructive feedback.  Stakeholder Management: Liaise with corporate clients (e.g., EY, Deloitte) to understand requirements and ensure training success.  R&D Collaboration:   Mentorship: Guide and mentor junior trainers, interns, or learners as needed. Required Qualifications o Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Applied Statistics, Data Science, or related fields. o Preferred from Tier-1 institutions (IITs, NITs, IIITs, IISc, etc.). o 3–5+ years of hands-on industry experience (both in Corporate project development & Corporate training) in AI, Machine Learning, or MLOps. o Experience in training corporate employees or holding academic/training positions is a must. No part of this document may be reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording,. Skills and Competencies ● Technical Skills: o Strong understanding of Machine Learning, Deep Learning, Generative AI (LLMs, Transformers, etc.), and MLOps. o Expertise in Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs, LangChain, etc. o Familiarity with cloud platforms (AWS, Azure, GCP) and ML pipelines. ● Training & Communication: o Excellent presentation, instructional design, and communication skills. o Proven ability to explain complex concepts in simple terms to a non-technical audience. ● Project Skills: o Ability to design real-world capstone projects, datasets, and evaluation metrics. o Experience with version control (Git), Docker, CI/CD for ML, and experiment tracking tools (MLflow, Weights & Biases). Preferred Skills o Experience with Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and LLM fine-tuning. o Exposure to data governance, ethical AI, and explainable AI (XAI) principles. o Knowledge of corporate L&D processes and success metrics.