Academic trainer - Edtech | Student training data science and Gen AI & Agentic Ai |

Boston Institute of Analytics - Race Course Road, Indore Campus · Madhya pradesh, India

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

• Bachelor’s or Master’s 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 Readiness