Trainer Data Science , Data Analytics ,Java Full Stack

technical trainers

As a trainer, you will be responsible for delivering engaging, practical, and industry-oriented sessions to learners, guiding them through real-world projects, and preparing them for professional placements.

Key Responsibilities:

• Conduct interactive classroom and online sessions on respective technologies.
  
• Design and deliver structured training modules, assignments, and projects.
  
• Simplify complex concepts and ensure students understand both theory and practical implementation.
  
• Provide hands-on exposure through live coding, data handling, or application development sessions.
  
• Evaluate learners performance and provide constructive feedback.
  
• Stay updated with the latest trends, frameworks, and tools in relevant technologies.
  
• Contribute to course design, improvement, and continuous enhancement of learning outcomes.
  

Skill Sets Required:

Data Science Trainer:

• Python Programming
  
• Statistics & Probability
  
• SQL / Database Management
  
• Machine Learning Algorithms
  
• Deep Learning & Neural Networks
  
• Natural Language Processing (NLP)
  
• Artificial Intelligence (AI) Concepts
  

Data Analytics Trainer:

• Advanced Excel
  
• SQL
  
• Power BI / Tableau
  
• Python for Data Analysis
  
• Data Visualization & Business Intelligence
  
• Introduction to AI & Predictive Analytics
  

Java Full Stack Trainer:

• HTML, CSS, Bootstrap
  
• JavaScript, React.js
  
• Core Java, Advanced Java
  
• SQL / Database Integration
  
• Web Application Development
  
• MVC Frameworks & RESTful APIs
  

Candidate Profile:

• Strong passion for teaching, mentoring, and sharing knowledge.
  
• Excellent communication and presentation skills.
  
• Prior experience in training or corporate mentoring will be preferred.
  
• Ability to guide learners on real-time projects and placement preparation.
  
• Should be well-versed with current industry practices and tools.
  

Educational Qualification:

• Bachelors or Masters Degree in Computer Science / IT / Engineering / Data Science / Related Fields.
  
• Relevant certifications in respective domains will be an added advantage.
  

Perks & Benefits:

• Competitive salary based on expertise and delivery quality.
  
• Flexible working environment and growth opportunities.
  
• Exposure to live projects, placement drives, and corporate training programs.
  
• Opportunity to mentor career-focused learners and shape industry-ready professionals.