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.