We are looking for an experienced and passionate Data Science Trainer to deliver practical, industry-oriented training in Data Science, Python Programming, Machine Learning, Deep Learning and Artificial Intelligence.
The ideal candidate should have strong technical knowledge, hands-on industry experience, and the ability to explain complex concepts through real-time projects, practical exercises and industry use cases.
The trainer should be capable of training freshers, students and working professionals.
Key Responsibilities
- Deliver comprehensive training in Data Science and Analytics.
- Teach Python programming from basic to advanced levels.
- Train students in NumPy, Pandas, Matplotlib and Seaborn.
- Explain data cleaning, data preprocessing and exploratory data analysis (EDA).
- Provide hands-on training in Statistics and Probability.
- Teach Machine Learning algorithms and model development.
- Cover supervised and unsupervised learning techniques.
- Train students in regression, classification, clustering and model evaluation.
- Provide practical training in Deep Learning and Neural Networks.
- Introduce Natural Language Processing (NLP) and Generative AI concepts.
- Teach SQL and database concepts for data analysis.
- Guide students in developing real-time Data Science projects.
- Provide assignments,
case studies and interview preparation.
- Mentor students in building industry-ready portfolios and resumes.
Required Skills & Qualifications
- Strong knowledge of Data Science and Machine Learning.
- Hands-on experience in Python programming.
- Good knowledge of NumPy, Pandas, Matplotlib and Seaborn.
- Experience with Scikit-learn and Machine Learning algorithms.
- Robust understanding of Statistics and Probability.
- Knowledge of SQL and database management.
- Experience with Jupyter Notebook and Google Colab.
- Understanding of Deep Learning and AI concepts.
- Good communication and presentation skills.
- Previous training or mentoring experience is preferred.
Preferred Additional Skills
- TensorFlow and PyTorch.
- Natural Language Processing (NLP).
- Generative AI and Large Language Models (LLMs).
- Power BI or Tableau.
- AWS, Azure or Google Cloud for Data Science.
- MLOps and model deployment.
- Flask, FastAPI or Streamlit.
- Real-time industry project experience.
Candidate Profile
- Data Science Trainers.
- Machine Learning Engineers.
- Data Scientists with training experience.
- AI/ML Developers.
- Analytics Professionals with teaching experience.
Experience: 2–5 years preferred in relevant technical or training roles.
Pay: ₹20,000.00 - ₹30,000.00 per month
Work Location: Remote
📌 Data Science Trainer (India)
🏢 Secure Techies
📍 India
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