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Job Description & How to Apply Below
About Us
Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies.
Mission Statement
'To Provide Measurable & Transformational Value To Learners Career'
Vision Statement
''To Be The Most Successful & Respected Job-Oriented Training Provider Globally.'
We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels.
Website
- Linked
IN
- Youtube
- Google Nagpur - (Use the "Apply for this Job" box below)./fireblazeaischoolnagpurshare
Google Pune - /fireblazeaischoolpuneshare
Spotify Podcast
- Job Description
Deliver engaging classroom and/or online training sessions on topics including:
Python for Data Science
Data Analytics using Excel and SQL
Statistics and Probability
Machine Learning and Deep Learning
Data Visualization using Power BI / Tableau
Create and update course materials, projects, assignments, and quizzes.
Provide hands-on training and real-world project guidance.
Evaluate student performance, provide constructive feedback, and track progress.
Stay updated with the latest trends, tools, and technologies in Data Science.
Mentor students during capstone projects and industry case studies.
Coordinate with the academic and operations team for batch planning and feedback.
Assist with the development of new courses and curriculum as needed.
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
Proficiency in Python, SQL, and data handling libraries (Pandas, Num Py, etc.).
Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, Tensor Flow, or Keras.
Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.
Strong communication, presentation, and mentoring skills.
Prior teaching/training experience is a strong advantage.
Certification in Data Science or Machine Learning (preferred but not mandatory).
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