Data Science Trainer

About the Role:

We are looking for a passionate and experienced Subject Matter Expert (SME) to design, develop, and deliver high-quality learning content in emerging technologies. The ideal candidate should possess strong technical expertise, excellent communication skills, and a passion for mentoring engineering students and working professionals.

The SME will be responsible for curriculum development, instructor-led training, hands-on lab development, assessment design, and supporting academic institutions and corporate learning initiatives.

Key Responsibilities:

• Create and deliver engaging training including presentations, lab manuals, coding exercises, case studies, assignments, and projects.
• Deliver instructor-led classroom and virtual training sessions.
• Mentor students during hands-on labs, capstone projects, and hackathons.
• Develop practical assessments, coding challenges, and evaluation rubrics.
• Provide technical guidance to trainers and support faculty enablement programs.
• Stay updated with emerging technologies and integrate them into the curriculum.

Required Technical Skills:

Programming

• Python
• PHP
• SQL

Artificial Intelligence

• Generative AI (GenAI)
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG) Preferred
• AI Agent Frameworks Preferred

Data Analytics & Visualization

• Microsoft Power BI |Tableau
• Data Visualization Best Practices
• Dashboard Development
• Data Modeling

Database

• SQL
• Database Design
• Stored Procedures (Preferred)

Machine Learning

• Data Preprocessing
• Feature Engineering
• Supervised and Unsupervised Learning
• Model Evaluation
• Scikit-learn
• Pandas
• NumPy

Educational Qualification:

• Bachelor of Engineering (B.E./B.Tech.), Master of Engineering (M.E./M.Tech.), MCA, or equivalent qualifications are encouraged to apply.

Required Competencies:

• Excellent communication and presentation skills.
• Strong curriculum development and documentation skills.
• Time management and multitasking abilities.

Key Deliverables:

• Technical Training (IT)
• Curriculum and syllabus design
• Lab manuals and coding exercises
• Capstone projects