Job Description

Launch Your Career in AI/ML - We're Hiring Freshers!

Location:

Ahmedabad (Work from Office)

Company:

MPIRIC Web Services

Role:

AI/ML Intern

Type:

Full-Time | Internship | In-office

Are you a recent graduate eager to explore the world of Artificial Intelligence & Machine Learning

Join our AI/ML Internship Program and gain

real-world experience

working on live projects, guided by industry experts. If you're passionate about AI and love coding in Python, this is the opportunity for you!

What You'll Work With:

Programming Languages:

Python (must-have) (Bonus) C++ for performance-heavy tasks

ML Frameworks:

PyTorch or TensorFlow/Keras (hands-on with one is enough) Scikit-learn for traditional ML models

Data Handling & Visualization:

NumPy, Pandas, Matplotlib, Seaborn Comfortable with cleaning, analyzing & visualizing data

Computer Vision (optional but cool):

OpenCV for image processing YOLOv5/v8, MediaPipe (nice to have!)

Deployment (basic exposure):

Flask / FastAPI for APIs Docker (bonus) ONNX / TensorRT (only if you're curious)

Cloud & Tools:

Google Colab (Required) Jupyter Notebooks ( Must-know) AWS/GCP/Azure (not required, but great if you've tried!)

What You Should Know (Even at Basic Level):

Linear Algebra, Calculus, Probability
Cost Functions, Backpropagation Basics
ML Concepts: Supervised vs Unsupervised
CNNs, RNNs, Transformers - basic awareness
Model evaluation: Accuracy, Precision, Recall, F1 Score

Projects to Show (If You Have):

Image classification / object detection
YOLO-based mini projects
Flask-deployed ML model
Kaggle competition participation
Anything cool on GitHub!

What We're Looking For:

Strong desire to learn & grow

Clear understanding of Python basics

Enthusiasm for AI & solving problems

Ability to explain your thought process

Based in

Ahmedabad

(In-office internship only)

What You'll Get:

Hands-on project experience
Internship Certificate + LOR
Mentorship from experienced developers
Pre-placement opportunity for top performers
Supportive, learning-focused environment

Job Types: Full-time, Fresher

Schedule:

Monday to Friday
Work Location: In person