Trainer- Data Science/ AI/ML

• Deliver data science and AI/ML courses and practicum sessions independently.
• Collaborate with academic leadership to design, enhance, and update curriculum based on research and industry benchmarking.
• Maintain academic quality and relevance through continuous content updates.

• Mentor, guide, and support students to achieve successful learning outcomes.
• Oversee student onboarding, engagement, evaluation, and placement support.
• Gather and analyze feedback to improve learning experiences.

• Plan and coordinate hackathons, workshops, and academic-industry collaborative events.
• Partner with marketing and academic teams to manage batch/cohort enrolments.
• Network with industry leaders and invite them to participate in academy initiatives.

• Administer and maintain the Learning Management System (LMS).
• Update academy website and social media channels with relevant content.
• Generate reports and present findings to management.

• Master’s or Doctoral degree in Statistics, Computer Science, Data Science, Mathematics, or a related discipline.

• Familiarity with the EdTech and online learning industry.
• Proficiency in LMS tools and platforms.
• Strong teaching, facilitation, and communication skills.
• Proficiency in Python, R, or SQL.
• Hands-on experience with data science libraries and frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong interpersonal, multitasking, and event coordination skills.
• Project management, problem-solving, and decision-making abilities.

• 5–7 years of teaching, academic program management, or relevant industry experience in the data science domain.

• Internal: Faculty, Students, Academic, Digital Transformation, Marketing, IT, Finance, and Operations teams.
• External: Vendors, industry leaders, consultants, universities, and academic partners.

• Professional demeanor, punctuality, and the ability to engage effectively with students and industry stakeholders.

• Python
• Data Science
• TensorFlow

Weekday AI