AI/ML Trainer/Mentor

About the job:Key responsibilities:

1. Deliver engaging classroom and practical training sessions on AI, Machine Learning, and Data Science.

2. Train students in Python, Machine Learning algorithms, Deep Learning, NLP, Computer Vision, and Generative AI.

3. Guide students through real-world projects and case studies.

4. Design course content, assignments, assessments, and hands-on labs.

5. Mentor students in resume building, portfolio development, interview preparation, and career guidance.

6. Stay updated with the latest AI technologies, frameworks, and industry trends.

7. Collaborate with the academic team to continuously improve the curriculum and learning experience.Who can apply:Only those candidates can apply who:have minimum 1 years of experienceSalary:₹ 2,00,000 - 3,00,000 /yearExperience:1 year(s)Deadline:[hidden]:59:59Skills required:Python, SQL, Data Analytics, Teaching, Data Science, Effective Communication and Generative AI ToolsOther Requirements:1. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.2. 1–3 years of industry or training experience in AI/ML.3. Prior teaching or mentoring experience is preferred.About Company:At Engineer Sahab Education, we believe education should go beyond theory. Our goal is to create a space where curiosity is encouraged, ideas are explored, and students develop the confidence to turn their aspirations into real careers. Every course we offer is designed to combine conceptual understanding with hands-on experience. Students work on real-world projects, collaborate with mentors, and gain insights that help them understand how technology is applied in professional environments. Our mission is not only to teach skills but also to build a supportive community where students feel guided, motivated, and empowered to grow. We are proud to see many of our students begin their careers in technology and contribute meaningfully to the industry. At Engineer Sahab Education, we remain committed to helping learners transform their potential into professional success, and we invite every aspiring tech professional to be part of this journey.

Responsibilities

Key responsibilities:

1. Deliver engaging classroom and practical training sessions on AI, Machine Learning, and Data Science.

2. Train students in Python, Machine Learning algorithms, Deep Learning, NLP, Computer Vision, and Generative AI.

3. Guide students through real-world projects and case studies.

4. Design course content, assignments, assessments, and hands-on labs.

5. Mentor students in resume building, portfolio development, interview preparation, and career guidance.

6. Stay updated with the latest AI technologies, frameworks, and industry trends.

7. Collaborate with the academic team to continuously improve the curriculum and learning experience.