Machine Learning Intern

Job Title: Machine Learning Intern

Employment Type: Full Time (Internship)

Work Mode: Remote

Location: India

About Crossing Infotech

Crossing Infotech is an IT solutions company that provides technology, data, and business support services to its clients.

Job Details

• Duration: 1 to 3 months
• Stipend: INR 15,500 to INR 16,500 per month

Key Responsibilities

• Collect, clean, and preprocess datasets for model training using Python and Pandas.
• Perform feature engineering and data transformation to improve model quality.
• Build, train, and test machine learning models using Scikit-learn with guidance from the team.
• Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score.
• Tune models and compare different algorithms to find the best results.
• Create charts and reports using Matplotlib and Seaborn to explain model results.
• Use Git and GitHub for version control and Jupyter Notebook for experiments.
• Work with the team to understand requirements and deliver tasks on time.

Requirements & Tech Stack

• Basic knowledge of Python (data types, loops, functions).
• Familiarity with Pandas and NumPy.
• Basic understanding of machine learning concepts (regression, classification, clustering).
• Familiarity with Scikit-learn.
• Basic understanding of statistics and data preprocessing.
• Good written and spoken English communication.
• Candidates with a laptop or computer and a stable internet connection.

Good to Have

• Knowledge of TensorFlow, Keras, or PyTorch.
• Basic understanding of SQL.
• Familiarity with Jupyter Notebook, Git, and GitHub.
• Any machine learning course, certification, Kaggle, or project experience.

Eligibility

• Students and recent graduates in B.Tech, BCA, MCA, B.Sc (Computer Science, IT, Statistics or Mathematics), M.Sc or any related field.
• Freshers interested in building a career in machine learning.

Benefits

• Monthly stipend of INR 15,500 to INR 16,500.
• Internship completion certificate.
• Hands-on experience on live machine learning projects.
• Remote work from anywhere in India.
• Guidance and mentorship from the team.