Senior AI/ML Trainer

Role overview

Senior AI/ML Trainer at CloudThat

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 & Agentic AI landscape.

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 formats.
• Requirements (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 & 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 LLMOps Qualifications 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 applicability

Preferred qualifications and skills

• 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.)

Employment details

• Location: Bangalore
• Employment Type: Full-time About your
• Location: Bangalore - Head Office [India]

About the employer

• Cloud That, founded in 2012 by Bhavesh Goswami, is India’s first company to offer comprehensive cloud consulting and training.
• Headquartered in Bengaluru with global offices, it has delivered 350+ projects and trained 850K+ professionals across 30+ countries.
• A top-tier partner with AWS, Microsoft, Google Cloud, and Databricks, Cloud That is the only company globally to win all three major cloud training awards in 2025.
• It also holds multiple prestigious partnerships and was certified as a Great Place to Work® in 2025, highlighting its innovation-driven, people-first culture.

Benefits

• Competitive salary and performance bonuses.
• Learning & development opportunities.
• Collaborative and diverse team environment.
• Be a part of the ONLY company in the world to be recognized by Microsoft, AWS, and Google Cloud with prestigious awards in 2025.
• Application Process: Shortlisted candidates will be contacted for a Virtual/Face to Face interview.
• Our process includes a [5–rounds of interview].
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company.
• We do not discriminate based on race, religion, gender, sexual orientation, age, or disability status.

Additional role details

• Role: Senior AI/ML Trainer