Job
Description
E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made of digital agencies that need help with solving their bandwidth problems, cutting overheads, and increasing profitability. We need diligent professionals like you to help us help them. If you're someone who dreams big and has the gumption to make them come true, E2M has a place for you. 1. Program Overview Title : Fractional AI Consulting Internship (Paid) Duration : 3–6 months Location : On-Site (Ahmedabad) Objective : Provide students with real-world AI project experience, mentorship, and an opportunity to join our team full-time upon successful completion. Our internship program at E2M Solutions is designed to bridge the gap between academic knowledge and practical industry application in AI. Interns will work on real client projects, learn directly from our AI consultants, and gain exposure to how AI solutions are deployed in digital marketing and consulting services. 2. Selection Criteria Education Background Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields. Fundamental coursework in AI, machine learning, or data analytics (at least one foundational course completed or in progress). Technical Skills Programming : Basic proficiency in Python (preferred), R, or another relevant language. Data Handling : Understanding of basic statistics, data cleaning, and data manipulation (e.g., familiarity with libraries like NumPy, Pandas in Python). Machine Learning Basics : Familiarity with concepts like regression, classification, model training, and evaluation metrics. Soft Skills & Mindset Curiosity & Willingness to Learn : Students should be eager to explore new AI tools, techniques, and applications. Collaboration : Ability to work in teams, communicate effectively, and follow project guidelines. Problem-Solving : Demonstrate initiative in identifying challenges and brainstorming solutions. Bonus Skills (Not Mandatory, but Nice to Have) Exposure to Deep Learning frameworks (TensorFlow or PyTorch). Experience with version control (GitHub). Familiarity with data visualization tools (Matplotlib, Plotly, etc.). Any prior project experience, even if it’s a university capstone or personal project. 3. Why Students Should Join Our Internship Program Industry-Ready Experience We go beyond academic exercises and provide real AI-driven project work. Interns learn how AI solutions are proposed, developed, and integrated for clients in diverse industries. Hands-on use of current AI tools and frameworks. Mentorship from Experts Interns will be guided by our experienced AI consultants who regularly work with digital agencies, helping them understand the nuances of client-focused AI services. Regular check-ins, one-on-one sessions, and skill-building workshops are part of the internship program. Practical Exposure to Digital Agency Projects Interns get to see how AI is applied in digital marketing, content optimization, ad tech, customer analytics, and more. This exposure is excellent for anyone aiming to launch a career in AI or data science within a marketing/consulting environment. Paid Internship & Employment Opportunity Students receive a stipend to support their efforts and contributions. Outstanding interns may be offered a full-time position at the end of the internship. Networking & Professional Development Opportunity to interact with leaders in AI consulting, digital marketing, and tech. Workshops on resume building, interview preparation, and career growth within the tech sector. 4. Internship Structure & Responsibilities Orientation & Training (Week 1) Overview of E2M Solutions’ AI consulting approach. Tool and framework introduction (e.g., Git, n8n, Airtables, Jupyter Notebooks). Best practices in project and data management. Hands-On Projects (Weeks 2–10) Interns are assigned to real projects under the guidance of a project lead or mentor. Tasks may include data collection & cleaning, exploratory data analysis, model building, performance tuning, and final reporting. Progress Reviews (Ongoing) Weekly check-ins with mentors and monthly performance evaluations to ensure continuous learning and alignment with project goals. Final Presentation & Assessment (Last Week) Interns present their project findings and demonstrate the solution they helped build. Feedback and assessment sessions determine potential offers for full-time roles. Show more Show less
