Academic Trainer - Edtech | Student Training Data Science And Gen AI & Agentic Ai |
Boston Institute Of Analytics - Race Course Road, Indore Campus
Academic Trainer - Edtech | Student Training Data Science And Gen AI & Agentic Ai |
Start Date
Starts Immediately
CTC (ANNUAL)
Competitive salary Competitive salary
Experience
5 year(s)
5 year(s)
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About the job
Academic Trainer EdTech | Data Science, Generative AI & Agentic AICompany Description
Boston Institute of Analytics (BIA) is an education and training organization focused on preparing learners for careers in data-driven, AI-powered, and technology-led industries. The Race Course Road, Indore campus offers specialized programs in Data Science, Artificial Intelligence, Generative AI, Agentic AI, and emerging technologies , aligned with evolving industry requirements.
BIA emphasizes practical, project-based and industry-oriented learning , enabling students to apply technical concepts to real-world business problems across multiple domains. Faculty and trainers work closely with learners to develop strong technical foundations, problem-solving capabilities, professional competencies, and job-ready portfolios.
Boston Institute of Analytics fosters an environment that values curiosity, innovation, continuous upskilling, experimentation, and industry relevance .
Role Description
The Academic Trainer EdTech | Data Science, Generative AI & Agentic AI will be responsible for designing and delivering high-quality, classroom-based training for students at the BIA Indore campus.
The ideal candidate should have 5+ years of strong teaching, corporate training, consulting, or industry experience in Data Science/AI , with demonstrated expertise in Generative AI, Large Language Models (LLMs), Agentic AI, AI automation, machine learning, data analytics, and real-world business applications .
The trainer will teach learners from diverse academic and professional backgrounds, including Computer Science, Engineering, Commerce, Management, Finance, Pharma/Life Sciences, and other non-technical disciplines . The ability to simplify complex technical concepts and demonstrate their application to different industries is essential.
The role involves delivering structured classroom sessions, hands-on coding labs, AI projects, industry case studies, capstone projects, assessments, mentoring, and career-oriented guidance.
The trainer will also be expected to bring domain-oriented AI and analytics applications into the classroom, particularly in areas such as:
- Financial Modelling & Financial Analytics
- Banking & FinTech
- Pharma & Life Sciences Analytics
- Healthcare Analytics
- Commerce & Retail Analytics
- Business Analytics & Decision Intelligence
- Marketing & Customer Analytics
- Supply Chain & Operations
- AI-powered Business Automation
The candidate should be capable of demonstrating how Data Science, Generative AI and Agentic AI can solve practical problems across different industries , rather than teaching these technologies only from a theoretical or coding perspective.
Key Responsibilities
- Design and deliver engaging classroom-based training in Data Science, Machine Learning, Generative AI, LLMs and Agentic AI .
- Develop structured lesson plans, presentations, coding exercises, assignments, labs, assessments, and project briefs.
- Teach Python, statistics, data analysis, machine learning, deep learning fundamentals, NLP and AI workflows .
- Train students on modern Generative AI concepts, LLMs, prompt engineering, RAG, AI applications and AI automation .
- Teach and demonstrate Agentic AI concepts, AI agents, agent workflows, tool calling, orchestration, multi-agent systems and real-world agentic applications .
- Introduce learners to relevant AI/GenAI frameworks, APIs, libraries and development environments.
- Conduct hands-on projects and capstone assignments involving real-world datasets and business problems.
- Develop industry-specific case studies and projects for students from Finance, Commerce, Pharma, Management, Engineering and other disciplines.
- Demonstrate applications of Data Science and AI in financial modelling, forecasting, risk analytics, pharma analytics, business intelligence, customer analytics, sales, marketing and operations .
- Help students understand how AI can be applied to their respective academic/domain backgrounds.
- Mentor students in developing job-ready portfolios, GitHub projects, dashboards, AI applications and capstone projects .
- Evaluate assignments, projects, presentations and technical assessments and provide constructive feedback.
- Support students with technical mentoring, interview preparation, career guidance and industry readiness.
- Stay updated with rapidly evolving developments in GenAI, Agentic AI, LLMs, AI automation and Data Science and continuously update course content.
- Collaborate with academic coordinators and leadership teams to improve curriculum, projects and learning outcomes.
- Conduct AI/GenAI workshops, masterclasses, seminars, hackathons and industry-oriented sessions .
- Contribute to internal knowledge-sharing and faculty development initiatives.
- Maintain a professional, inclusive and engaging classroom environment.
Required Qualifications & Expertise
- Bachelors or Masters degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Finance, or a related discipline .
- Minimum 5 years of relevant teaching, corporate training, consulting, or industry experience in Data Science/AI is mandatory.
- Strong command of Data Science fundamentals, statistics, data analysis and machine learning .
- Strong hands-on expertise in Python, Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn and Jupyter/Google Colab or equivalent environments .
- Strong practical understanding of Generative AI, LLMs, Prompt Engineering, RAG and AI application development .
- Hands-on knowledge of Agentic AI, AI agents, agent workflows, tool calling, orchestration and multi-agent systems .
- Familiarity with modern GenAI/Agentic AI frameworks and platforms is highly desirable.
- Ability to develop practical GenAI and Agentic AI projects , not just conduct theoretical sessions.
- Strong understanding of AI automation and integration of AI into business workflows .
- Experience working with real-world datasets, business cases and industry projects .
- Strong understanding of financial modelling, financial analytics and business analytics is highly desirable.
- Experience applying Data Science/AI to Pharma, Healthcare, Commerce, Finance, Retail, Marketing or other business domains will be strongly preferred.
- Ability to teach students from both technical and non-technical backgrounds .
- Demonstrated ability to simplify complex technical concepts for students with different levels of programming and mathematical knowledge.
- Strong curriculum development, instructional design and classroom management skills.
- Excellent communication, presentation, mentoring and coaching abilities.
- Experience with LMS platforms, educational technologies and digital learning resources .
- Strong project management and student evaluation skills.
- Ability to work full-time, on-site in Indore .
Preferred Candidate Profile
We are particularly interested in candidates who are available in Indore and can combine industry experience + teaching/training expertise and can bridge the gap between technology, business and education .
Candidates with experience as a:
Data Scientist | AI/ML Engineer | GenAI Engineer | AI Consultant | AI Trainer | Data Analytics Consultant | Financial Analytics Professional | AI Product Specialist | Corporate Trainer | Data Science Faculty
will be preferred.
Experience in building or deploying real-world GenAI/Agentic AI solutions , conducting corporate workshops, consulting for organizations, or working on domain-specific AI projects will be an added advantage.
Core Competency Areas
Data & AI:
Data Science Statistics Python Machine Learning Deep Learning NLP Data Analytics
Generative AI:
LLMs Prompt Engineering RAG AI Applications AI APIs AI Automation GenAI Workflows
Agentic AI:
AI Agents Tool Calling Agent Workflows Multi-Agent Systems Orchestration Autonomous AI Workflows
Business & Domain Applications:
Financial Modelling FinTech Pharma Analytics Healthcare Commerce Retail Marketing Analytics Business Analytics Operations & Supply Chain
Academic & Career Development:
Classroom Training Project-Based Learning Curriculum Development Mentoring Capstone Projects Portfolio Building Interview & Job Readines Click on apply to see more..
Earn certifications in these skills
+ 2 more skills
Who can apply
Only those candidates can apply who:
1. have minimum 5 years of experience
Salary
Probation:
Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
Number of openings
1
Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
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