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Company Description Aarvika Global Solutions Pvt. Ltd. provides professional training in Digital Marketing, Graphic Designing, and IT courses with a strong focus on practical, industry-relevant skills. The organization emphasizes career readiness and supports learners with 100% placement assistance to help them transition into the workforce. Training programs are designed to align with current market demands and emerging technologies. Aarvika Global Solutions fosters a collaborative learning environment that encourages skill development and continuous improvement.
Role Description This is a full-time, on-site role based in Hyderabad for Python and Data Science Trainers. The trainer will design and deliver structured lessons on Python programming, data analysis, machine learning fundamentals, and related tools and libraries. Day-to-day responsibilities include preparing training materials, conducting classroom sessions, demonstrating practical applications, guiding learners through projects, and assessing their progress. The role also involves providing mentorship, clarifying concepts, updating course content to reflect industry trends, and collaborating with the training team to maintain high instructional standards.
Qualifications
- Strong foundation in Science Education with the ability to relate concepts to real-world data science applications.
- Background in Physics to explain analytical thinking, modeling, and problem-solving approaches.
- Proficiency in Mathematics, including statistics and linear algebra, relevant to Python and data science curricula.
- Experience as a Qualified Teacher with skills in classroom management and learner assessment.
- Competence in Lesson Planning to design structured, engaging, and outcome-focused training modules.
- Hands-on expertise in Python programming and key data science libraries (e.g., NumPy, pandas, scikit-learn).
- Experience delivering technical training or workshops to students or professionals.
- Excellent communication skills and the ability to explain complex topics in a clear, accessible manner.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field is preferred.
- Ability to work collaboratively with the training team and adapt content based on learner feedback and industry trends.
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