Machine Learning Intern
Skillzenloop · India
- Hybrid
- Full-time
- ₹228,000 / year
- India
Job highlights
- Build predictive models with real-world datasets.
- Prepare and transform data for ML.
- Implement and evaluate ML models.
- Utilize Python and ML libraries.
- Gain hands-on ML workflow experience.
About the role
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
Skills & topics
- Machine Learning
- Intern
- Python
- Data Science
- AI
- Scikit-learn
- Pandas
- NumPy
- Model Development
- Remote Internship
How to get hired
- 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.
Technical preparation
Practice Python coding challenges.,Implement ML algorithms from scratch.,Work with pandas for data manipulation.,Build simple classification models.
Behavioral questions
Describe a challenging data problem.,How do you handle project ambiguity?,Discuss a time you learned quickly.,How do you document your work?
Frequently asked questions
- What kind of projects can I expect as a Machine Learning Intern at Skillzenloop?
- As a Machine Learning Intern at Skillzenloop, you can expect to work on projects involving data preparation, implementing baseline ML models for classification or regression, evaluating model performance, and documenting your findings. You'll gain practical experience with real-world datasets and applied ML workflows.
- Is this Machine Learning Intern position remote, and what are the expectations?
- Yes, this Machine Learning Intern position is fully remote. The expectation is that you can work independently, manage your time effectively, and communicate clearly in a virtual environment while completing your assigned tasks.
- What Python libraries are essential for the Machine Learning Intern role at Skillzenloop?
- For the Machine Learning Intern role at Skillzenloop, strong knowledge of Python is required. You should be familiar with core data analysis libraries like pandas and NumPy, and machine learning libraries such as scikit-learn.
- Does Skillzenloop offer mentorship for their Machine Learning Interns?
- Yes, Skillzenloop offers mentorship from experienced professionals as part of its structured internship programs. This is a key benefit to help interns develop job-ready skills.
- What is the duration and stipend for the Machine Learning Intern position?
- The Machine Learning Intern position at Skillzenloop has a duration of 1 to 3 months and offers a stipend of ₹19,000 per month.
- What are the basic qualifications for a Machine Learning Intern at Skillzenloop?
- To qualify for the Machine Learning Intern position at Skillzenloop, you should be pursuing or have recently completed a degree in Computer Science, Data Science, AI, or a related field, possess a basic understanding of ML algorithms and Python, and be familiar with data analysis libraries.