Position Title

Data Science & Data Analytics with AI & Machine Learning Trainer

Location

Kochi, Kerala

Employment Type

Full-Time / Part-Time / Freelance

Job Summary

We are seeking an experienced and passionate Data Science, Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML) Trainer to deliver industry-oriented training programs. The trainer must possess strong theoretical knowledge and hands-on practical experience in Data Analytics, Data Science, Python Programming, Machine Learning, Deep Learning, Generative AI, Business Intelligence, SQL Databases, and related technologies.

The candidate should be capable of teaching the complete syllabus of the Master's in Data Science with AI & ML and Master's in Data Analytics Engineering programs, conducting practical lab sessions, mentoring projects, and preparing students for industry certifications and placements.

Key ResponsibilitiesTraining & Delivery

• Deliver classroom and online training sessions on Data Science, Data Analytics, AI, and ML.
• Conduct practical lab-oriented sessions with real-world datasets.
• Develop lesson plans, assignments, case studies, and project-based learning activities.
• Monitor student progress and provide academic guidance.
• Conduct assessments, mock interviews, and technical evaluations.
• Mentor students in capstone and mini-project development.
• Assist students in building professional portfolios, GitHub profiles, and LinkedIn profiles.

Curriculum Coverage

The trainer must be capable of teaching the following modules:

1. Python Programming

• Programming Fundamentals
• Variables, Data Types, Operators
• Control Structures
• Functions
• OOP Concepts
• File Handling
• Exception Handling
• Modules and Packages
• Data Structures (List, Tuple, Set, Dictionary)
• NumPy
• Pandas
• Data Visualization
• Exploratory Data Analysis (EDA)

2. Data Analytics & Business Intelligence

• Advanced Excel
• Power Query
• Power Pivot
• Dashboard Development
• KPI & Business Metrics
• Business Reporting
• Data-Driven Decision Making
• Tableau
• Power BI
• Business Analytics
• Forecasting Techniques
• Interactive Reports

3. Statistics & Mathematics

• Mean, Median, Mode
• Probability
• Correlation
• Variance and Standard Deviation
• Linear Algebra Basics
• Statistical Analysis
• Data Interpretation

4. Database Technologies

• SQL
• MySQL / PostgreSQL
• CRUD Operations
• Joins and Subqueries
• Database Design
• MongoDB / NoSQL Databases
• Database Projects

5. Machine Learning

• Machine Learning Workflow
• Feature Engineering
• Model Evaluation
• Supervised Learning
• Unsupervised Learning
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Support Vector Machines (SVM)
• KNN
• K-Means Clustering
• PCA
• Hyperparameter Tuning

6. Deep Learning

• Neural Networks
• ANN, CNN, RNN
• TensorFlow
• Keras
• Model Training
• Transfer Learning
• Activation Functions
• Backpropagation

7. Natural Language Processing (NLP)

• Text Preprocessing
• TF-IDF
• Word Embeddings
• Sentiment Analysis
• Text Classification
• Question Answering Systems
• Transformer Models

8. Computer Vision

• OpenCV
• Image Processing
• Face Detection
• Object Detection
• YOLO Architecture
• Custom Dataset Training
• Real-Time Detection Systems

9. Generative AI & LLMs

• ChatGPT
• Gemini
• Claude
• OpenAI API
• Gemini API
• Hugging Face Transformers
• LLaMA
• LangChain
• Prompt Engineering
• AI Chatbot Development
• AI Applications for Analytics

10. R Programming

• R & RStudio
• Data Manipulation using dplyr
• Data Visualization using ggplot2
• Statistical Analysis
• EDA using R

Required QualificationsEducational Qualification

• Bachelor's or Master's Degree in:
• Computer Science
• Information Technology
• Data Science
• Artificial Intelligence
• Statistics
• Mathematics
• Engineering or related field

Experience

• Minimum 2–5 years of experience in Data Science, Data Analytics, AI, or ML.
• Prior training/teaching experience preferred.
• Experience working on real-world Data Science or Analytics projects.

Technical Skills Required

• Python
• SQL & NoSQL Databases
• Excel, Power BI, Tableau
• Machine Learning Algorithms
• TensorFlow / Keras / PyTorch
• NLP & Generative AI
• OpenCV & Computer Vision
• LangChain & LLM Frameworks
• GitHub Version Control
• Data Visualization Tools
• Cloud Platforms (AWS / Azure – Preferred)

Soft Skills

• Excellent communication and presentation skills.
• Strong mentoring and student engagement abilities.
• Problem-solving and analytical thinking.
• Ability to simplify complex technical concepts.
• Strong classroom management and training delivery skills.

Preferred Certifications

• Microsoft Data Analyst Associate
• Microsoft Azure AI Engineer
• Google Data Analytics Professional Certificate
• IBM Data Science Professional Certificate
• TensorFlow Developer Certificate
• AWS Machine Learning Specialty
• Tableau Desktop Specialist
• Cisco Data Analytics Certifications

Expected Outcomes

The trainer should be able to prepare students for roles such as:

• Data Analyst
• Business Analyst
• Analytics Engineer
• BI Developer
• Data Scientist
• Machine Learning Engineer
• AI Engineer
• NLP Engineer
• Computer Vision Engineer
• Generative AI Developer

Pay: ₹18,000.00 - ₹25,000.00 per month

Work Location: In person