Machine Learning Intern
Weskill
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningData structures & algorithmsDeep learningStatisticsPythonPyTorch
- Work
- On-site in Hyderabad · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning96%Statistics51%Deep learning32%Data structures & algorithms31%of 100 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
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About Weskill
Weskill is an innovative online training platform focused on upskilling undergraduate students through practical, hands-on learning. The organization designs programs that close the gap between academic curricula and real-world corporate expectations. Learners gain exposure to industry-relevant tools, methodologies, and problem-solving approaches. Graduates of Weskill are well-positioned for roles in high-growth startups and leading multinational companies, supporting strong early-career outcomes. The platform emphasizes accessible, career-oriented education for students seeking a competitive edge in the job market.
About the Role
The Machine Learning Intern will support the design, development, and evaluation of machine learning models for educational and platform-related use cases. This is a remote internship role, offering exposure to real-world machine learning projects in an online learning environment.
Key Responsibilities
- Support the design, development, and evaluation of machine learning models.
- Perform data preprocessing and feature engineering.
- Train and test models.
- Assist in performance analysis and optimization under the guidance of senior team members.
- Collaborate on research tasks.
- Document experiments.
- Implement algorithms in code, following best practices for reproducibility and code quality.
Requirements & Tech Stack
- Computer Science and Algorithms
- Core Machine Learning concepts and techniques
- Deep Learning frameworks and model architectures
- Statistics (probability, distributions, basic hypothesis testing)
- Experience with at least one programming language commonly used in ML (e.g., Python) and relevant libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch)
Qualifications
- Current undergraduate or recent graduate in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Ability to work independently in a remote setting.
- Effective time management skills.
- Clear written and spoken English communication.
- Interest in applying machine learning to education.
- Willingness to learn new tools, frameworks, and methodologies.