Job Title:
Data Science & AI Trainer

Location:
Noida, Uttar Pradesh, India (In office)

Job Type:
Contract

About the Role

We are seeking a highly skilled and passionate
Data Science & AI Trainer
to lead comprehensive, practical training programs. In this role, you will bridge the gap between theory and industry implementation, mentoring learners through live coding, real-world case studies, and hands-on lab sessions.

The ideal candidate brings deep industry experience alongside a proven track record in technical education, covering end-to-end data pipelines from ingestion and statistical modeling to NLP and Big Data processing.

Key Responsibilities
Curriculum Delivery:
Deliver end-to-end interactive training sessions across Python, Machine Learning, NLP, Big Data, and Dimensionality Reduction.
Hands-on Instruction:
Conduct live coding demos, guided lab exercises, and practical problem-solving sessions using real-world datasets.
Learner Guidance:
Mentor students and professionals in applying data preprocessing, feature engineering, and model optimization techniques.




Evaluation & Feedback:
Design, review, and evaluate hands-on assignments, capstone projects, and assessments to gauge practical competency.
Content Contextualization:
Translate complex mathematical, statistical, and algorithmic concepts into explicit, actionable business use cases.

Required Skills & Technical Expertise
Core Python & Data Wrangling:
Advanced proficiency in Python for Data Science, with deep expertise in
NumPy
and
Pandas
for complex data manipulation and cleansing.
Machine Learning & Preprocessing:
Hands-on experience with
Scikit-Learn
, feature engineering, missing value imputation, outlier detection, categorical encoding, standardization, normalization, feature selection, and managing imbalanced datasets.
Statistics & Visualization:
Solid foundation in probability theory, inferential statistics, hypothesis testing, and standard visualization libraries (Matplotlib, Seabor

📌 Data Science Noida (India)
🏢 OpsMasterAcademy
📍 India