Machine Learning Intern

Machine Learning Intern (Paid Internship)

Company: SkillzenLoop

Work Mode: Remote

Duration: 13 Months

Stipend: 15,000 per month

Type: Full-Time Internship

Career Growth: Certificate + Full-Time Offer Based on Performance

About SkillzenLoop

SkillzenLoop is a technology-driven IT and analytics company delivering intelligent solutions powered by Artificial Intelligence and Machine Learning. We focus on innovation, automation, and real-world applications that help businesses unlock smarter decision-making.

Role Summary

We are seeking a curious and highly motivated Machine Learning Intern who is excited to build predictive models, analyze data patterns, and contribute to real AI projects. You will work closely with the data science team to experiment with algorithms and deploy solutions that create real business value.

Key Responsibilities

Work on data preprocessing, feature engineering, and model development

Experiment with supervised and unsupervised learning techniques

Utilize Python libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch

Perform model evaluation and tuning for better accuracy

Prepare visualizations to explain model behavior and insights

Support integration of ML models into internal applications

Document model workflows, datasets, and outcomes

Requirements

Pursuing or recently completed a degree in AI/ML, Data Science, Computer Science, or related fields

Knowledge of core ML algorithms and statistics

Hands-on experience with Python for data and ML tasks

Familiarity with Jupyter Notebook or similar environments

Understanding of data visualization and pipeline workflows

Problem-solving mindset with strong analytical thinking

Eagerness to explore new research and technologies

What You Will Gain

Stipend: 15,000/month

Real-world ML project experience with industry mentors

Ability to enhance your portfolio with deployed models

Internship Certificate after completion