24 Sep
|
Cubiccode Education Foundation
|
Belagavi
24 Sep
Cubiccode Education Foundation
Belagavi
Data Analytics, Data Science & AI/ML Trainer
Location: Belagavi, Karnataka
Job Type: Full-Time | On-Site
Experience: 1–5 Years
Industry: Education / Training / EdTech
Role Overview
We are looking for a skilled and passionate Data Analytics, Data Science & AI/ML Trainer who can teach students and working professionals through practical, industry-focused training. The trainer will be responsible for conducting classroom sessions, explaining technical concepts in a simple manner, guiding learners through projects, and helping them build job-ready skills.
Key Responsibilities
- Conduct training sessions on Data Analytics, Data Science and AI/ML.
- Teach tools and technologies such as Python, SQL, Excel, Power BI, Pandas, NumPy, Matplotlib and Scikit-learn.
- Explain concepts including statistics, data visualization, machine learning, predictive analytics and AI fundamentals.
- Provide practical assignments, projects and real-world case studies.
- Evaluate learner performance and provide regular feedback.
- Guide students in project development and portfolio building.
- Keep training content updated with current industry trends and tools.
- Handle classroom queries and maintain an engaging learning environment.
Requirements
- Strong knowledge of Data Analytics, Data Science and AI/ML.
- Positive hands-on experience with Python and SQL.
- Experience with Power BI / Excel and data visualization tools.
- Understanding of machine learning algorithms and practical implementation.
- Excellent communication and presentation skills.
- Ability to explain complex technical concepts in a straightforward and practical way.
- Prior training/teaching experience is preferred.
Preferred Qualification B.E./B.Tech/M.Tech/MCA/M.Sc./MBA (Analytics) or equivalent in a relevant field.
Candidates with strong practical industry experience and valuable training skills are encouraged to apply.
Pay: ₹15,000.00 - ₹18,000.00 per month
Work Location: In person
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