Data Science Trainer (Hyderabad)

Fireblaze AI School

Hyderabad

On-site

INR 800,000 - 1,100,000

Full time

14 days+
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Job summary

An esteemed training provider in Hyderabad seeks a Data Science Trainer to deliver hands-on training sessions in various Data Science topics, including Python, SQL, and Machine Learning. Candidates should possess a relevant degree and effective communication skills along with prior teaching experience being an advantage. This role offers the opportunity to impact learners' careers significantly.

Qualifications

  • Proficiency in Python, SQL, and data handling libraries is essential.
  • Hands-on knowledge of machine learning frameworks like Scikit-learn, TensorFlow, or Keras.
  • Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn.
  • Prior teaching/training experience is a strong advantage.
  • 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).

Responsibilities

  • Deliver engaging classroom and/or online training sessions on Data Science topics.
  • Create and update course materials and projects.
  • Evaluate student performance and provide constructive feedback.
  • Stay updated with the latest trends in Data Science.
  • Assist with the development of new courses as needed.
  • 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.

Skills

Python
SQL
Data Analytics
Machine Learning
Deep Learning
Statistics
Data Visualization
Communication Skills
Mentoring Skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics

Tools

Scikit-learn
TensorFlow
Keras
Power BI
Tableau
Matplotlib
Seaborn
Keras

Job description

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.

Responsibilities
  • 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
  • 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, TensorFlow, 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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