Data Science Trainer

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities

• Impart training on AI/ML, Python
• Encourage and monitor the progress of individual students.
• Observe and maintain accurate and complete records of students’ progress and development.
• Counseling students with academic problems and providing student encouragement.
• Groom the students to prepare them for jobs.
• Strong expertise in Artificial Intelligence (AI), Generative AI (Gen AI), and Data Science.
• Hands-on experience with Python programming and AI/ML development.
• Sound understanding of Large Language Models (LLMs), prompt engineering, and AI application development.
• Good knowledge of Cloud Fundamentals (AWS, Microsoft Azure, or Google Cloud Platform).
• Working knowledge of Cybersecurity principles, information security, and cloud security concepts.
• Ability to deliver technical training on emerging technologies through instructor-led sessions and hands-on labs.
• Experience in curriculum development, content creation, assessments, and project mentoring.
• Strong communication, presentation, and stakeholder management skills.
• Industry certifications in AI, Cloud, or Cybersecurity will be an added advantage.