Machine Learning Intern
Weskill
Gurugram, Haryana, IndiaFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningData analysisData structures & algorithmsDeep learningPythonPyTorch
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning83%Deep learning27%Data structures & algorithms26%Data analysis21%of 99 similar fresher jobs posted in India this week
- Listed
- 31 Oct 2026 · still open
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About the Role
The Machine Learning Intern will support the design, implementation, and evaluation of machine learning models used within Weskill’s training content and internal projects. This is an internship role and is fully remote, offering flexibility for students while providing practical exposure to real-world machine learning workflows and tools.
Key Responsibilities
- Support the design, implementation, and evaluation of machine learning models.
- Perform data preprocessing and exploratory data analysis.
- Experiment with algorithms and prototype deep learning models.
- Document methodologies.
- Prepare clear reports or presentations on findings.
- Collaborate with mentors to improve model performance and reliability.
Requirements & Tech Stack
- Proficiency in at least one programming language commonly used in ML (such as Python).
- Familiarity with libraries like NumPy, pandas, scikit-learn, or TensorFlow/PyTorch.
Qualifications
- Strong foundational knowledge in Computer Science, including data structures, algorithms, and software development concepts.
- Understanding of core Machine Learning principles, such as supervised and unsupervised learning, model evaluation, and feature engineering.
- Basic exposure to Deep Learning frameworks and concepts, including neural networks and common architectures.
- Competence in Statistics, including probability, hypothesis testing, and data analysis methods.
- Ability to apply algorithmic thinking to problem-solving and optimization tasks.
- Current enrollment in or recent completion of an undergraduate program in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Strong analytical, communication, and collaboration skills.
- Ability to work independently in a remote environment.
- Interest in education technology, online learning, and continuous upskilling is a plus.