Job Description

We are seeking

Machine Learning Interns

to join us. This internship offers an exceptional opportunity to gain hands-on experience in real-world machine learning development, model building, data processing, and deployment workflows.

:

Perform data cleaning, feature engineering, exploratory data analysis, and model validation. Develop, train, test, and deploy

ML and predictive models

using industry-standard tools and frameworks. Collaborate with the team to ensure

model accuracy, reliability, and scalability

. Assist in optimizing ML workflows, pipelines, and automation processes. Assist in documenting experiments, results, and deployment procedures. Stay updated with the latest trends, techniques, and best practices in machine learning and AI.

Required Skills & Qualifications

:

Bachelor's in Computer Science, Data Science, AI/ML, or related fields. Good understanding of

machine learning fundamentals

, algorithms, and statistical concepts. Hands-on experience with

Python

,

NumPy

,

Pandas

,

Scikit-learn

, or similar ML libraries. Basic knowledge of

data preprocessing

, model training, evaluation metrics, and visualization. Must have hands on with either of

TensorFlow, Keras, or PyTorch

. Understanding of version control (Git) and Jupyter Notebooks. Strong analytical, problem-solving, and communication skills. Eagerness to learn, adapt, and contribute in a fast-paced environment.

Preferred Skills (Good to Have)

Understanding of

MLOps

concepts and tools. Knowledge of

NLP, Computer Vision, or Deep Learning

. Exposure to cloud platforms like

AWS, Azure, or Google Cloud

. Experience with

ML model deployment

using Flask, FastAPI, or similar frameworks.
Job Type: Internship

Work Location: In person