Lead Trainer - AI & Data Analytics

2 - 6 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: You will be the Lead Trainer for the AI & Data Analytics program at the CSR backed AI/ML Learning Lab. Your primary responsibility will be conducting full-time weekday classes to educate underprivileged youth and community learners in Artificial Intelligence, Machine Learning, Python, Data Analytics, and related tools. Your role involves shaping students into job-ready AI/ML talent by delivering interactive sessions, providing mentorship, evaluating performance, and maintaining high-quality training standards in alignment with industry requirements. Key Responsibilities: - Conduct full-time weekday classes on AI, ML, Python, Data Analytics, and related tools. - Design and deliver lectures, practical sessions, hands-on labs, and assessments. - Ensure training content remains updated, industry-relevant, and easy to comprehend. - Provide mentorship and doubt-clearing support to students. - Prepare lesson plans, assignments, quizzes, and project guidelines. - Evaluate student progress through tests, projects, and performance reviews. - Support the Centre In-Charge in documentation, reporting, and training audits. - Maintain discipline, class engagement, and a positive learning environment. - Assist in mobilization and student selection when required. - Participate in faculty meetings, workshops, and upskilling sessions. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - Strong knowledge of Python, Machine Learning basics, Data Analytics, NumPy, Pandas, Visualization tools (Matplotlib, Power BI/Tableau preferred). - Minimum 2+ years of teaching/training experience in AI, Data Analytics, or related domain. - Excellent communication and classroom management skills. - Ability to explain complex concepts in simple, beginner-friendly language. - Passion for teaching and uplifting underprivileged learners. Additional Details: N/A,

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