Job Description

Job Summary:

We are seeking a passionate and knowledgeable Data Science Trainer to join our team. The ideal candidate will have strong expertise in Python, data science concepts, and modern technologies including AI, ML, NLP, and big data. This role requires delivering high-quality training, conducting workshops and bootcamps, and staying updated with the industry trends

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Key Responsibilities:

Deliver engaging and practical training sessions on:
Python programming and frameworks like Django and Flask
REST APIs and web integration
SQL and database handling
Data Science fundamentals, Machine Learning & Deep Learning
Natural Language Processing (NLP) and Artificial Intelligence (AI)
Retrieval-Augmented Generation (RAG) and other advanced AI methods
Design course materials, assignments, and real-world projects.
Conduct interactive workshops, webinars, and student bootcamps.
Mentor and guide students on capstone projects and portfolio development.
Evaluate student performance and provide constructive feedback.
Collaborate with the curriculum team to update training content based on industry trends.
Use Git and GitHub to manage and demonstrate version control workflows.
Be open and flexible to learn and integrate new tools and technologies as required.
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Required Skills and Qualifications:

Proficiency in Python*, including Django/Flask frameworks.

Hands-on experience with RESTful APIs and SQL*.

Solid understanding of Big Dataconcepts and tools (e.g., Hadoop, Spark is a plus).
In-depth knowledge of Machine Learning, Deep Learning, and NLPtechniques.
Familiarity with Artificial Intelligencesystems and RAG pipelines.
Comfortable using version control toolslike Git and platforms like GitHub.
Experience conducting workshops, seminars, or student training programs*.

Excellent communication and presentation skills.
Strong problem-solving skills and a proactive learning mindset.
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Preferred Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or related field.
Prior teaching, training, or mentorship experience is highly desirable.
Certifications in data science, AI/ML, or related domains are a plus.

1. Training Delivery

Deliver classroom and/or live online sessions on data science topics such as: Python for Data Science Data Wrangling with Pandas & NumPy Exploratory Data Analysis & Data Visualization Statistics & Probability Machine Learning Algorithms Supervised and Unsupervised Learning Model Evaluation Techniques Introduction to Deep Learning (optional) Teach tools and platforms like

Jupyter Notebook

,

Google Colab

,

Scikit-learn

,

Matplotlib

,

Seaborn

,

Tableau/Power BI

, etc.

2. Curriculum Development

Develop and update training materials, coding exercises, project briefs, and assessments based on current industry standards. Design real-world projects and case studies that enable students to apply their knowledge practically.

3. Student Engagement & Mentorship

Provide individual and group mentorship on projects and concept understanding. Conduct regular doubt-clearing sessions and performance reviews. Guide students in building portfolios and preparing for technical interviews.

4. Assessment & Progress Tracking

Evaluate student assignments, capstone projects, and provide actionable feedback. Track attendance, participation, and progress reports. Share student performance data with academic coordinators or institute leadership.

5. Continuous Improvement & Collaboration

Stay current with advancements in data science, AI/ML, and edtech delivery practices. Collaborate with other trainers, content developers, and placement coordinators. Participate in internal training sessions, hackathons, and academic planning meetings.
Job Type: Full-time

Pay: ₹25,000.00 - ₹35,000.00 per month

Schedule:

Day shift
Supplemental Pay:

Performance bonus
Work Location: In person