Python Trainer

Subhanu Technologies; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Subhanu Technologies is seeking a Technical Trainer to deliver hands-on Python, AI/ML and Data Analytics sessions to college students in Bengaluru. You will conduct live coding, labs and projects, ensuring practical understanding and real-world applicability.

The role emphasizes mentoring students, guiding data analytics solutions and AI models, and collaborating with college faculty. Travel within Bengaluru is required to reach partner institutions.

Qualifications

• 3–6 years of relevant industry/training experience in Python, AI/ML, Data Science or Data Analytics.
• B.E./B.Tech/MCA/M.Sc/BCA/B.Sc in Computer Science or related fields preferred.
• Strong practical skills and communication ability are essential.
• Prior experience training or mentoring college students is an added advantage.

Responsibilities

• Deliver engaging Python, AI/ML & Data Analytics training to college students.
• Conduct live coding, practical exercises, assignments and assessments.
• Explain technical concepts through hands-on demonstrations and real-world use cases.
• Mentor students on mini-projects and industry-oriented projects.
• Guide students in developing data analytics solutions, machine learning models and AI applications.
• Resolve technical doubts and ensure effective learning outcomes.
• Coordinate with college faculty and internal training teams.
• Travel to different colleges across Bengaluru for training programs.

Skills

Python

AI/ML

Data Analytics

NumPy

Pandas

Matplotlib/Seaborn

SQL

Data Cleaning

EDA

Data Visualisation

Statistics

Scikit-learn

TensorFlow/PyTorch

NLP

Generative AI

Power BI/Tableau

ML Projects

Communication & Presentation

Travel willingness

Education

B.E./B.Tech/MCA/M.Sc/BCA/B.Sc in CS/AI/ML/Data Science/IT

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI

Tableau

Job description

We are looking for a Technical Trainer with strong hands‑on expertise in Python, AI/ML and Data Analytics to train college students through classroom, lab, hands‑on and project‑based sessions.

Key Responsibilities

• Deliver engaging Python, AI/ML & Data Analytics training to college students.
• Conduct live coding, practical exercises, assignments and assessments.
• Explain technical concepts through hands‑on demonstrations and real‑world use cases.
• Mentor students on mini‑projects and industry‑oriented projects.
• Guide students in developing data analytics solutions, machine learning models and AI applications.
• Resolve technical doubts and ensure effective learning outcomes.
• Coordinate with college faculty and internal training teams.
• Travel to different colleges across Bengaluru for training programs.

Required Skills:

• Strong hands‑on knowledge of Python, NumPy, Pandas, Matplotlib/Seaborn and SQL.
• Good understanding of Data Cleaning, EDA, Data Visualisation and basic Statistics.
• Strong understanding of Machine Learning concepts, supervised/unsupervised learning, model training, evaluation and feature engineering.
• Hands‑on experience with Scikit‑learn and building practical ML models.
• Knowledge of Deep Learning, TensorFlow/PyTorch and NLP is an advantage.
• Familiarity with Generative AI, LLMs, Prompt Engineering and AI APIs is a strong advantage.
• Knowledge of Power BI/Tableau is an advantage.
• Experience building practical Python, Data Analytics and AI/ML projects.
• Excellent communication, presentation and classroom management skills.
• Passion for teaching and mentoring students.
• Willingness to travel within Bengaluru.

Eligibility

• 3 to 6 years of relevant industry/training experience in Python, AI/ML, Data Science or Data Analytics.
• B.E./B.Tech/MCA/M.Sc/BCA/B.Sc. in Computer Science, AI/ML, Data Science, IT or related fields preferred.
• Strong practical skills and communication ability are essential.
• Prior experience training or mentoring college students is an added advantage. I
• deal Candidate: Someone who can code it, analyze it, explain it, demonstrate it and teach students to build it themselves.