Job Overview
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Job Description
Machine Learning Intern
Company: Skillzenloop
Location: Remote
Job Type: Full-time Internship
Duration: 1–3 Months
Stipend: ₹19,000 per month
About Skillzenloop
Skillzenloop is a growing skill development and training organization dedicated to bridging the gap between academic learning and industry requirements. We offer structured internship programs, real-world projects, and mentorship to help candidates build job-ready skills in data analytics, technology, and business domains.
Role Overview
We are looking for a Machine Learning Intern who is curious about building predictive models and working with real-world datasets. This role provides hands-on exposure to model development, evaluation, and applied ML workflows.
Key Responsibilities:
- Prepare datasets through cleaning, feature engineering, and transformation
- Implement baseline ML models for classification or regression tasks
- Compare model performance using appropriate evaluation metrics
- Conduct experiments and track results for different model approaches
- Work with Python libraries such as scikit-learn, pandas, and NumPy
- Assist in deploying simple models or APIs (basic level)
- Document experiments, assumptions, and findings
Required Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, or a related field
- Basic understanding of machine learning algorithms
- Strong knowledge of Python programming
- Familiarity with data analysis libraries (pandas, NumPy)
- Understanding of supervised and unsupervised learning concepts
- Analytical thinking and problem-solving skills
- Ability to work independently in a remote setup
Preferred Skills:
- Experience with ML projects or coursework
- Familiarity with TensorFlow or PyTorch
- Basic understanding of statistics and probability
What You Will Gain:
- Hands-on experience in machine learning workflows
- Exposure to real-world datasets and modeling problems
- Mentorship from experienced professionals
- Opportunity to strengthen technical and analytical skills
- Certificate of completion based on performance
Skillzenloop is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all interns.
Key skills/competency
- Machine Learning Intern
- Data Preparation
- Feature Engineering
- Model Implementation
- Model Evaluation
- Python
- Scikit-learn
- Pandas
- NumPy
- Machine Learning Algorithms
How to Get Hired at Skillzenloop
- Tailor your resume: Highlight Python, ML algorithms, and data analysis library experience relevant to the Machine Learning Intern role.
- Showcase projects: Include any ML coursework or personal projects demonstrating your understanding of supervised/unsupervised learning and model evaluation.
- Emphasize skills: Clearly state your analytical thinking, problem-solving abilities, and experience with data preparation techniques.
- Address remote work: Confirm your ability to work independently and effectively in a remote setting.
- Prepare for technical questions: Be ready to discuss your understanding of ML concepts and Python programming.
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