Job
Description
As a skilled and passionate Python + Generative AI Trainer, your role will involve delivering high-impact training programs for corporate professionals. You will be responsible for designing and conducting hands-on workshops, bootcamps, and extended training programs focused on Python programming, AI/ML fundamentals, and Generative AI applications such as LLMs, RAG, prompt engineering, fine-tuning, and deployment. Your technical expertise and training/mentoring experience will be crucial in simplifying complex AI concepts into engaging, real-world learning experiences. Key Responsibilities: - Deliver corporate training sessions (on-site/virtual) covering Python, AI/ML fundamentals, and Generative AI applications. - Customize training programs to match corporate needs & industry use cases. - Create training materials, coding exercises, and real-world projects. - Guide participants through hands-on projects like Chatbot, Enterprise Q&A Bot, and End-to-end GenAI deployments. - Assess participant progress and provide constructive feedback. - Stay updated on the latest AI/LLM technologies, tools, and enterprise adoption trends. - Collaborate with HR/L&D teams for smooth training delivery. Required Skills & Qualifications: - Strong expertise in Python programming (Pandas, NumPy, OOP, APIs). - Practical knowledge of AI/ML frameworks (Scikit-learn, PyTorch/TensorFlow, HuggingFace). - Hands-on experience with Generative AI tools (OpenAI, LangChain, LlamaIndex, vector DBs). - Experience in prompt engineering, embeddings, and RAG pipelines. - Knowledge of cloud deployment (AWS/GCP/Azure), Docker/Kubernetes. - Excellent communication, presentation, and mentoring skills. - Ability to explain complex technical concepts in simple, business-relevant terms. Preferred (Nice-to-Have): - Prior experience as a corporate trainer/instructor in Python, AI/ML, or GenAI. - Exposure to fine-tuning LLMs (LoRA/QLoRA) and multi-modal AI models. - Experience in enterprise AI use cases (finance, healthcare, customer service, legal, etc.). - Industry certifications in AI/ML, Python, or cloud technologies. - Open-source contributions, blogs, or workshops in AI/ML/GenAI. Education & Experience: - Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or related field. - 3+ years of professional experience in Python + AI/ML development. - 1+ years of proven training/mentoring experience (corporate or academic). In case you are interested, the engagement options available are: - Full-time Trainer (In-house L&D team) - Part-time/Contract Trainer for corporate batches - Consultant Trainer for specialized workshops/bootcamps As a skilled and passionate Python + Generative AI Trainer, your role will involve delivering high-impact training programs for corporate professionals. You will be responsible for designing and conducting hands-on workshops, bootcamps, and extended training programs focused on Python programming, AI/ML fundamentals, and Generative AI applications such as LLMs, RAG, prompt engineering, fine-tuning, and deployment. Your technical expertise and training/mentoring experience will be crucial in simplifying complex AI concepts into engaging, real-world learning experiences. Key Responsibilities: - Deliver corporate training sessions (on-site/virtual) covering Python, AI/ML fundamentals, and Generative AI applications. - Customize training programs to match corporate needs & industry use cases. - Create training materials, coding exercises, and real-world projects. - Guide participants through hands-on projects like Chatbot, Enterprise Q&A Bot, and End-to-end GenAI deployments. - Assess participant progress and provide constructive feedback. - Stay updated on the latest AI/LLM technologies, tools, and enterprise adoption trends. - Collaborate with HR/L&D teams for smooth training delivery. Required Skills & Qualifications: - Strong expertise in Python programming (Pandas, NumPy, OOP, APIs). - Practical knowledge of AI/ML frameworks (Scikit-learn, PyTorch/TensorFlow, HuggingFace). - Hands-on experience with Generative AI tools (OpenAI, LangChain, LlamaIndex, vector DBs). - Experience in prompt engineering, embeddings, and RAG pipelines. - Knowledge of cloud deployment (AWS/GCP/Azure), Docker/Kubernetes. - Excellent communication, presentation, and mentoring skills. - Ability to explain complex technical concepts in simple, business-relevant terms. Preferred (Nice-to-Have): - Prior experience as a corporate trainer/instructor in Python, AI/ML, or GenAI. - Exposure to fine-tuning LLMs (LoRA/QLoRA) and multi-modal AI models. - Experience in enterprise AI use cases (finance, healthcare, customer service, legal, etc.). - Industry certifications in AI/ML, Python, or cloud technologies. - Open-source contributions, blogs, or workshops in AI/ML/GenAI. Education & Experience: - Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or related field. - 3+ years of professional experience in Python + AI/ML deve
