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AI Executor Intern

2 weeks ago

Ahmedabad, Gujarat, India E2M Full time ₹ 6,00,000 - ₹ 12,00,000 per year

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

: AI Executor Internship – Python, AI APIs & No-Code/Low Code Automation

Duration

: 3–6 months

Location

: On-Site (Ahmedabad)

Type:

Paid Internship

Objective:

·       Provide students with real-world AI implementation experience using Python, AI APIs, and no-code/Low Code automation tools, with mentorship and an opportunity to join our team full-time upon successful completion.

About the Internship:

·       As an
AI Executor Intern

, you'll work with our AI team to build and automate real-world business workflows using a mix of
Python

,
AI APIs

(like Open AI and Hugging Face), and
no-code/low-code tools

like
n8n, Make, Zapier, and Airtable

. You'll gain hands-on experience building smart, scalable automations that solve real business problems for digital agencies.

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

: Working knowledge of
Python

and popular libraries (requests, pandas, NumPy)

·       
AI/ML APIs:

Interest in
AI/ML APIs

(OpenAI, LangChain, Hugging Face, etc.)

·       
No-Code/Low Code Platforms:

Familiarity with or willingness to learn
no-code/Low Code platforms

like:
Zapier

,
n8n

,
Make (Integromat)

,
Airtable

,
Google Workspace automation

, etc.

·       
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-driven Mindset

and eagerness to experiment and build quickly

·       
Clear communicator

with the ability to document work and explain ideas

·       
Collaboration:

Ability to work in teams and follow project guidelines

·       
Problem-Solving:

Demonstrate initiative in identifying challenges and brainstorming solutions

Bonus Skills (Not Mandatory, but Nice to Have)

·       Experience with
webhooks, API integrations, or GitHub projects

·       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. What You'll Work On

·       
Build and test automation workflows

using tools like
Zapier, n8n, Make, Airtable, and Google Sheets

·       
Use APIs from OpenAI, Hugging Face, and LangChain

to solve client use cases

·       
Write Python scripts

to connect and enhance no-code/Low Code workflows

·       
Help in creating internal documentation, workflows, and AI-powered solutions

·       
Explore new tools and platforms

that speed up automation and implementation

·       
Support the AI team

in brainstorming and building repeatable solutions for agencies

4. What You'll Gain

Real-World AI Implementation Experience:

·       
Real-world experience in AI implementation and automation

·       
Exposure to both coding and no-code/Low Code tools

used in production environments

·       Hands-on use of current AI tools and frameworks in live client projects

Mentorship from Experts:

·       
Mentorship from senior AI consultants and engineers

·       Interns will be guided by our experienced AI consultants who regularly work with digital agencies

·       Regular check-ins, one-on-one sessions, and skill-building workshops

Practical Exposure to Digital Agency Projects:

·       See how AI is applied in digital marketing, content optimization, ad tech, customer analytics, and automation

·       Learn how AI solutions are proposed, developed, and integrated for clients in diverse industries

·       This exposure is excellent for anyone aiming to launch a career in AI or automation within a marketing/consulting environment

Career Development & Opportunities:

·       
Internship certificate + priority consideration for full-time roles in the AI division

·       Outstanding interns may be offered a full-time position at the end of the internship

·       Networking opportunities with leaders in AI consulting, digital marketing, and tech

·       Workshops on resume building, interview preparation, and career growth within the tech sector

5. Internship Structure & Responsibilities

Orientation & Training (Week 1):

·       Overview of E2M Solutions' AI consulting approach and automation philosophy

·       Tool and framework introduction (e.g.,
n8n, Zapier, Make, Airtable, Python environments

)

·       Best practices in project management, documentation, and automation workflows

Hands-On Projects (Weeks 2–10):

·       Interns are assigned to real automation projects under the guidance of a project lead or mentor

·       Tasks may include:

  • Building no-code/Low Code workflows and automations
  • Integrating AI APIs into business processes
  • Writing Python scripts for data processing and API connections
  • Testing and optimizing automation workflows
  • Creating documentation and user guides

Progress Reviews (Ongoing):

·       Weekly check-ins with mentors and monthly performance evaluations to ensure continuous learning and alignment with project goals

·       Regular feedback sessions on automation builds and code reviews

Final Presentation & Assessment (Last Week):

·       Interns present their automation projects and demonstrate the solutions they helped build

·       Showcase both technical implementation and business impact

·       Feedback and assessment sessions determine potential offers for full-time roles