AI Consultant And Trainer - Internship

About the internship:Selected intern's day-to-day responsibilities include:

A. Training & Mentoring

1. Assist with individual and group training sessions on AI/ML, Generative AI, and Data Analytics.

2. Explain technical concepts clearly to beginners and non-technical learners.

3. Support learners with projects, assignments, and practical activities.

4. Adapt teaching methods based on learners' needs and skill levels.

B. Consulting & Learner Guidance

1. Understand learner and client goals, requirements, and existing skill levels.

2. Identify technical and career-related skill gaps.

3. Recommend suitable learning paths, tools, projects, and resources.

4. Guide learners toward career opportunities in AI/ML and Data Analytics.

C. Project & Content Development

1. Assist in creating customized, project-based learning programs.

2. Develop assignments, workshops, exercises, and training materials.

3. Recommend projects based on learners' goals and capabilities.

4. Stay updated on AI tools, technologies, and industry trends.

D. Portfolio & Career Support

1. Guide learners on GitHub, LinkedIn, resumes, portfolios, Tableau/Power BI, and personal websites.

2. Help learners present their projects and skills effectively.

3. Support interview preparation, project discussions, and job-readiness activities.

E. Client Interaction

1. Communicate professionally with learners and clients.

2. Assist in preparing training plans and project recommendations.

3. Maintain regular follow-ups and coordinate with internal teams.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 7th Sep'26 and 28th Oct'26are available for duration of 6 monthshave relevant skills and interestsStipend:INR₹ 5,000 - 7,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, 5 days a weekSkills required:Python, Project Management, Data Analytics, Git, Machine Learning, MS SQL Server, GitHub, Consulting, Power BI, Effective Communication, NumPy, Generative AI Development, Artificial Intelligence Markup Language (AIML), Machine Learning Operations (MLOps), Prompt Engineering, Cursor (GenAI) and Python LibrariesOther Requirements:Nice to Have:1. Prior internship, teaching, mentoring, or training experience.2. Experience with AI/ML, Generative AI, or Data Analytics projects.3. Exposure to resume building, portfolio development, or career coaching.4. Experience creating presentations, workshops, or educational content.5. Familiarity with AI productivity tools or client-facing interactions.About Company:SMARRTIF AI is an EdTech consulting company that provides AI-driven education, digital services, and personalized learning experiences to help individuals from non-technical backgrounds transition into AI/ML, data analytics, and business analytics roles. It also acts as the official hiring partner for the SPAAK Group of Companies for its gaming division, SPAAK GAMES, supporting talent identification and development for creative technology and game development roles. Founded in 2006 by Mr. Pankul Rathore, the SPAAK Group operates across biomining and bioremediation, waste-to-energy, waste-to-compost solutions, and civil construction, delivering innovative and cost-effective solutions through independently managed verticals. Established on 2 July 2025, SPAAK GAMES marks the group's entry into the gaming and interactive entertainment industry, focusing on immersive experiences and advanced technology integration.Additional information:Why Join SMARRTIF AI?

At SMARRTIF AI, we value sincerity, mindfulness, and authenticity. You will work at the intersection of AI, education, consulting, and career development, contributing to practical learning solutions while growing with a team focused on innovation and continuous learning.

Responsibilities

Selected intern's day-to-day responsibilities include:

A. Training & Mentoring

1. Assist with individual and group training sessions on AI/ML, Generative AI, and Data Analytics.

2. Explain technical concepts clearly to beginners and non-technical learners.

3. Support learners with projects, assignments, and practical activities.

4. Adapt teaching methods based on learners' needs and skill levels.

B. Consulting & Learner Guidance

1. Understand learner and client goals, requirements, and existing skill levels.

2. Identify technical and career-related skill gaps.

3. Recommend suitable learning paths, tools, projects, and resources.

4. Guide learners toward career opportunities in AI/ML and Data Analytics.

C. Project & Content Development

1. Assist in creating customized, project-based learning programs.

2. Develop assignments, workshops, exercises, and training materials.

3. Recommend projects based on learners' goals and capabilities.

4. Stay updated on AI tools, technologies, and industry trends.

D. Portfolio & Career Support

1. Guide learners on GitHub, LinkedIn, resumes, portfolios, Tableau/Power BI, and personal websites.

2. Help learners present their projects and skills effectively.

3. Support interview preparation, project discussions, and job-readiness activities.

E. Client Interaction

1. Communicate professionally with learners and clients.

2. Assist in preparing training plans and project recommendations.

3. Maintain regular follow-ups and coordinate with internal teams.