IT trainer

Job Description – AI & Data Analytics Trainer

About the Role

We are looking for a skilled and passionate AI & Data
Analytics Trainer to deliver industry-oriented training to youth at our
Skill Development Centre. The trainer will be responsible for developing
learners' practical knowledge of Data Analytics, Artificial Intelligence,
Python, and data visualization, with a strong focus on employability and
hands-on learning.

Key Responsibilities

• Deliver
  classroom and practical training in AI, Data Analytics, Python, and
  related technologies.
  
• Explain
  technical concepts in a simple and learner-friendly manner.
  
• Conduct
  hands-on sessions, exercises, assignments, projects, and assessments.
  
• Train
  students on data handling, cleaning, analysis, visualization, and
  interpretation.
  
• Introduce
  learners to AI/ML concepts, applications, and responsible use of AI
  tools.
  
• Provide
  practical exposure to tools such as Python, Excel, SQL, Power
  BI/Tableau, and AI tools.
  
• Design
  and guide learners through real-world projects and case studies.
  
• Conduct
  pre- and post-assessments to track learner progress.
  
• Identify
  learning gaps and provide additional support to weaker learners.
  
• Support
  learners in completing projects and building job-ready portfolios.
  
• Maintain
  attendance, assessment scores, training records, and other MIS
  requirements.
  
• Coordinate
  with the Centre Head, placement team, and other stakeholders for learner
  engagement and outcomes.
  
• Support
  placement-oriented activities such as mock interviews, resume preparation,
  technical assessments, and industry sessions.
  
• Ensure
  training quality, discipline, and timely completion of the assigned
  curriculum.
  

Key Training Areas

The trainer should be able to cover the following areas:

Data Analytics

• MS
  Excel – formulas, functions, pivot tables, dashboards
  
• SQL
  fundamentals and database concepts
  
• Data
  cleaning and preparation
  
• Data
  analysis and interpretation
  
• Data
  visualization
  
• Power
  BI / Tableau
  
• Basic
  statistics and business analytics
  

Artificial Intelligence & Machine Learning

• Fundamentals
  of AI and Machine Learning
  
• Supervised
  and unsupervised learning concepts
  
• Basic
  ML algorithms and model evaluation
  
• Generative
  AI fundamentals
  
• Prompt
  engineering and effective use of AI tools
  
• Practical
  AI applications and responsible AI
  

Educational Qualification

• BSC
  ( IT/CS/EC ) , BCA/MCA , Poly Diploma ( IT/CS) , BE/BTECH ( IT/CS/EC )
  
• Relevant
  industry certifications in AI, Data Analytics, Python, Power BI, or
  related technologies will be an advantage.
  

Experience

• 2–4
  years of experience in training, teaching, or industry experience in
  Data Analytics / AI / Machine Learning.
  
• Candidates
  with strong industry experience and good communication skills may also be
  considered.
  
• Prior
  experience in skill development, vocational training, youth training,
  or employability programs will be preferred.
  

Required Skills

• Strong
  knowledge of Python, SQL, Excel and Data Visualization.
  
• Good
  understanding of AI and Machine Learning concepts.
  
• Hands-on
  experience with Power BI/Tableau.
  
• Ability
  to explain technical concepts to beginners.
  
• Strong
  communication and presentation skills.
  
• Good
  classroom management and learner engagement skills.
  
• Ability
  to develop practical assignments and projects.
  
• Comfortable
  working with students from diverse educational backgrounds.
  
• Strong
  orientation towards learner outcomes and employability.
  

Key Performance Indicators

• Training
  completion as per the planned schedule.
  
• Learner
  attendance and engagement.
  
• Assessment
  and certification performance.
  
• Successful
  completion of practical projects.
  
• Improvement
  in learner technical competency.
  
• Learner
  satisfaction and feedback.
  
• Contribution
  towards placement readiness and employment outcomes.
  

Preferred Candidate Profile: A trainer who combines strong
technical knowledge, practical industry exposure, excellent communication
skills, and a passion for developing job-ready youth.