Data Science Trainer

Job Description

Position Title: Technical Trainer AI, Data Science & Data Engineering

Location: Chennai (Ready to travel as per the training requirements)

Total Experience required:6-15 Years

Relevant Experience required for AI Data Science: 6-15 Years

Mode of hiring : Third person

Role Overview

The Technical Trainer AI, Data Science & Data Engineering will be responsible for

delivering high-quality technical training to Freshers and Enterprise professionals.

The role requires strong technical expertise, effective training delivery skills, and the

ability to simplify complex concepts for diverse learner groups. The trainer will play a

critical role in building foundational and job-ready skills aligned with industry

standards.

Key Responsibilities

• Deliver instructor-led classroom and virtual training sessions in AI, Data

Science, and Data Engineering.

• Design and execute hands-on coding labs, assignments, and mini projects.

• Simplify technical concepts for early-stage learners while maintaining depth

for enterprise audiences.

• Mentor learners, address doubts, and track individual learning progress.

• Conduct assessments, evaluations, and project reviews.

• Ensure adherence to defined curriculum, assessment, and compliance

standards.

• Continuously update technical knowledge and training content based on

industry trends.

Academic Qualifications

• B.E / B.Tech / B.Sc / BCA / M.Tech / MCA in Computer Science, Information

Technology, Data Science, Artificial Intelligence, or related disciplines.

• Candidates with strong relevant industry experience and recognized

certifications may also be considered.

Required Skill Sets (Must-Have)

Technical Skills

• Strong proficiency in Python programming.

• Core Data Science concepts: Statistics, Probability, Exploratory Data Analysis

(EDA), and Data Cleaning.

• Machine Learning: Supervised and Unsupervised learning algorithms.

• SQL and relational database concepts (Oracle/MYSQL/Postgres SQL).

• Data Engineering fundamentals: ETL processes, ETL Tools (Informatica) data

pipelines, and data workflows.

• Hands-on experience with libraries such as Pandas, NumPy, and Scikit-learn.

• Exposure to Big Data tools such as Hadoop and Spark.

• Basic experience with cloud platforms (Azure, AWS, or GCP).

AI / ML Skills

• Machine learning model development, training, and evaluation.

• Feature engineering and model optimization techniques.

• Basic understanding of AI model deployment and real-world use cases.

Training & Instructional Skills

• Ability to teach technical concepts clearly to 12th pass learners.

• Strong classroom and virtual training delivery capabilities.

• Experience in handling coding labs and learner assessments.

• Mentoring and learner engagement skills.

Good-to-Have Skills

Technical

• Deep Learning fundamentals using PyTorch.

• Data visualization tools: Power BI, Tableau, Matplotlib, or Seaborn.

Certifications

• Azure AI Engineer / Data Scientist certifications.

• AWS Data Analytics or Machine Learning certifications.

• Recognized Data Science or AI certifications.

Industry Exposure

• Experience in Enterprise training environments.

• Prior involvement in EdTech or fresher training programs.

Professional Skills

• Excellent verbal and written communication skills.

• Strong presentation and facilitation abilities.

• Patience and a learner-centric approach.

• Ability to manage and engage diverse learner groups.

Assessment & Performance Expectations

• Conduct regular assessments, coding evaluations, and project reviews.

• Track learner progress and provide structured feedback.

• Maintain training quality and compliance with organizational standards.