Senior Technical Trainer - Machine Learning/Artificial Intelligence in Bangalore, भारत

About the Role :We are looking for a passionate Senior Technical Trainer with good hands-on to join our expert team. Candidate will drive knowledge adoption across customers, partners, and internal teams delivering high-impact training in AI/ML, Deep Learning, and the rapidly evolving Generative AI and Agentic AI https://jobeax.com/link/0DQlPeAMr1jFuIB2 Responsibilities :- Conduct engaging in-person and virtual training sessions across a range of learner profiles.- Deliver workshops and bootcamps on AI/ML, Deep Learning, Generative AI, RAG pipelines, and Agentic AI systems and LLMOps.- Design and develop training materials, including slide decks, hands-on labs, demo notebooks, video walkthroughs, and assessments aligned towards current industry trends and customer needs.- Build modular, reusable learning content covering GenAI application development, RAG architectures, LLM fine-tuning, prompt engineering, and multi-agent orchestration, LLMOps.- Integrate real-world use cases and project-based learning into every module, ensuring practical applicability.- Work closely with internal and external Subject Matter Experts (SMEs) to draft training proposals and curate content aligned with enterprise skilling goals.- Train and mentor internal trainers and partner faculty to scale delivery across regions and https://jobeax.com/link/a7Wo6HWlWxeyHUQI (Must-have):- ML and Deep learning frameworks: Scikit Learn, TensorFlow, PyTorch, Keras.- Neural network architectures: CNNs, RNNs, LSTMs, Transformers.- ML workflows: data preprocessing, model training, evaluation, and optimization.- Working knowledge of Large Language Models (LLMs): GPT, Llama, Mistral, Gemini, Claude, etc.- Prompt Engineering: zero-shot, few-shot, chain-of-thought, and advanced prompting patterns.- RAG (Retrieval-Augmented Generation), Vector databases (Pinecone, FAISS, Chroma, Weaviate), embedding models, chunking strategies.- LLM Fine-tuning: LoRA, QLoRA, PEFT, RLHF.- Agentic AI and Frameworks: Building and teaching AI Agents - tool use, memory, planning, and reasoning loops; Hands-on familiarity with at least two or more Agentic AI frameworks: LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen (Microsoft), OpenAI Agents SDK or Anthropic Claude SDK; Hands-on knowledge of MCP (Model Context Protocol), tool calling, and function calling patterns; Hands-on knowledge of Multi-Agent system design and its nuances and https://jobeax.com/link/rUJJkp1NlH7flGIk :- Bachelor's degree in computer science, Engineering, Mathematics, or a related field or equivalent practical experience.- Demonstrated hands-on experience in AI/ML model development, GenAI application building, or data science workflows.- Proven track record of delivering technical training, workshops, or bootcamps especially in AI/ML or GenAI domains.- Experience with cloud-based AI/ML platforms (AWS Sagemaker, Azure AI Foundry, GCP Vertex AI, etc.) is highly recommended.- Having any of professional cloud certifications is a plus.- Prior experience developing content for professional certifications or enterprise skilling programs is a plus.- Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.- Strong facilitation skills - comfortable engaging beginners as well as seasoned engineers in the same session.- Strong analytical and problem-solving skills with an eye for real-world https://jobeax.com/link/IxEVGpLtqwYNfl3G to have :- Contributions to open-source AI/ML projects or public learning resources (blogs, notebooks, talks).- Experience with AI governance, responsible AI practices, or bias/safety considerations in LLMs.- Active community presence (LinkedIn, Hugging Face, GitHub, etc.) (ref:hirist.tech)