Data Science Trainer

Job description

**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.**