Data Science Trainer

Data Science Trainer (with Gen AI & Agentic AI Knowledge)

Company: Cambridge Infotech

Location: Kalyan Nagar, Bengaluru, Karnataka Job Type: Full-Time | On-site

Experience: 2–4 Years (Freshers with strong knowledge are also welcome to apply)

Salary: Starting ₹25,000/month (based on experience)

About the Role

Cambridge Infotech is looking for a knowledgeable and passionate Data Science Trainer to join our EdTech team. The ideal candidate will train students in core data science concepts along with practical exposure to Generative AI and Agentic AI, helping learners build industry-relevant skills for today's fast-evolving tech landscape.

Key Responsibilities

• Deliver structured training sessions on Data Science fundamentals — statistics, Python, data analysis, visualization, and machine learning.
• Teach Generative AI concepts including LLMs, prompt engineering, and AI-assisted workflows.
• Introduce students to Agentic AI concepts and practical implementation.
• Design and update curriculum, assignments, and hands-on projects.
• Mentor students, clarify doubts, and monitor learning progress.
• Conduct assessments to evaluate student understanding and readiness.

Required Skills & Qualifications

• Strong hands-on expertise in Data Science, Python, and Machine Learning.
• Working knowledge of Generative AI and Agentic AI concepts/tools.
• Prior teaching, training, or mentoring experience preferred.
• Excellent communication and presentation skills.
• Bachelor's/Master's degree in Computer Science, Data Science, or a related field (preferred)

Why Join Us

• Opportunity to shape the skills of aspiring data scientists and AI practitioners.
• Collaborative, growth-oriented work environment.
• Competitive salary based on experience.

How to Apply

Interested candidates can apply directly through Indeed, or share their resume at: enquiry@cambridgeinfotech.io

WhatsApp your resume to +91 97424 61116

Pay: From ₹25,000.00 per month

Benefits:

• Paid sick time
• Paid time off

Work Location: In person