AI and Data Science Trainer

ABOUT COMPANY

IT Talent Hub is a leading provider of industry-ready AI and IT training, dedicated to equipping learners with the skills required to excel in today’s technology-driven job market. We collaborate with top UK companies to ensure our training programs align with current industry demands, offering a seamless transition from learning to employment.

Our comprehensive approach covers candidate sourcing, training, and onboarding, making us a trusted partner for both learners and employers.

KEY DUTIES AND RESPONSIBILITIES:

As an AI and Data Science Trainer in the Technology Department, you will play a pivotal role in shaping future AI and Data professionals. You will deliver hands-on, interactive training, mentor students through real-world projects, and prepare them for successful industry placements. Your responsibilities will include:

Training & Content Delivery:

• Deliver engaging sessions on Python Programming, APIs, Data Analysis, Data Visualization (Power BI/Tableau), Statistics, Machine Learning, Deep Learning,Natural Language Processing (NLP), Generative AI, Prompt Engineering, MLOps,Model Deployment (Docker, CI/CD, MLflow), Microsoft Azure Cloud Services, LLM-based development, Agentic AI workflows, AI Engineering, AI Product Development, and Data Engineering Fundamentals.
• Conduct live coding demonstrations, practical sessions, and real-time use-case explorations.
• Explain AI system design, data pipelines, and production AI workflows in a clear and accessible manner.

Curriculum & Learning Path Design:

• Develop structured learning pathways for diverse AI roles, including AI Consultant, AI Developer, AI Engineer, Data Scientist, ML Engineer, Data Analyst, and Generative AI Engineer.
• Design practical assignments, capstone projects, case studies, and hands-on lab tasks.
• Create reusable frameworks, templates, and coding examples to enhance learning efficiency.

Project Mentoring & Industry Exposure:

• Guide students in building industry-grade AI projects and portfolios.
• Mentor on exploratory data analysis, model training, tuning, evaluation, LLM fine￾tuning, vector databases, RAG pipelines, AI agents, orchestration frameworks, and prompt strategies.
• Support students in documenting projects and building robust GitHub portfolios.
• Provide insights into real-world AI adoption and industry best practices.

Career Support & Mentoring:

• Conduct CV and LinkedIn review workshops.
• Provide technical interview preparation, aptitude support, and mock interviews.
• Mentor students on building professional AI portfolios and preparing for AI/ML roles.
• Deliver career guidance and industry insights on AI job scope and future skills.

Additional:

• Contribute to a collaborative and innovative training environment.
• Participate in continuous improvement of training content and delivery methods
• Work from Chennai office for a minimum of 4 days per week, with flexibility for 1 day remote work

POSITION REQUIREMENTS

Work Experience:

• Minimum 10 years of professional experience in AI, Data Science, or related technology domains.
• Proven track record in delivering technical training, mentoring, and curriculum development within the education sector.
• Hands-on experience in developing end-to-end AI applications and deploying models in production environments.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Relevant certifications in AI, Machine Learning, Data Science, or Cloud Technologies (e.g., Microsoft Azure) are highly desirable.

Skills / Behaviour Attributes:

• Expertise in Python, Machine Learning, Deep Learning, NLP, Generative AI, and Data Visualization tools (Power BI/Tableau).
• Proficiency with AI frameworks: PyTorch, TensorFlow, Scikit-learn, LangChain, Hugging Face, LangGraph, n8n tools.
• Experience with cloud platforms, especially Microsoft Azure.
• Knowledge of LLMs, RAG, vector databases (Pinecone/FAISS), and prompt engineering.
• Ability to simplify complex AI and data concepts for diverse learners.
• Strong communication, presentation, and mentoring skills.
• Excellent organizational and time management abilities.
• Commitment to continuous learning and staying updated with AI innovations.
• Excellent communication skills and a passion for teaching.

Salary Range:

• Competitive and commensurate with experience and expertise. (To be discussed during interview process)