Machine Learning Intern
Weskill
Varanasi, Uttar Pradesh, IndiaFresher2m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Machine learningData structures & algorithmsDeep learningPythonscikit-learnPandas
- Work
- On-site in Varanasi · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning84%Python72%Deep learning33%Data structures & algorithms25%of 100 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About the Role
The Machine Learning Intern will support the design, development, and evaluation of machine learning models used in Weskill’s training content and internal projects. This is a remote internship role, offering flexible, project-based work and exposure to real-world applications of machine learning in an education technology context.
Key Responsibilities
- Support the design, development, and evaluation of machine learning models.
- Perform data collection and preprocessing.
- Experiment with algorithms.
- Implement deep learning architectures.
- Run performance analyses to refine model accuracy.
- Collaborate with mentors to document findings.
- Contribute to learning resources.
- Help build small proof-of-concept applications that demonstrate core ML concepts to learners.
Requirements & Tech Stack
- Python (and related libraries like NumPy, pandas, scikit-learn)
- Deep Learning frameworks (e.g., TensorFlow, PyTorch)
Qualifications
- Strong foundation in Computer Science, including data structures, algorithms, and programming fundamentals.
- Knowledge of Machine Learning concepts such as supervised/unsupervised learning, model evaluation, and feature engineering.
- Familiarity with Deep Learning techniques and frameworks for building and training neural networks.
- Working understanding of Statistics, including probability, distributions, and hypothesis testing as applied to data analysis.
- Ability to analyze datasets, interpret results, and communicate technical insights clearly in written and verbal form.
- Currently pursuing or recently completed an undergraduate degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- Self-motivated, able to work independently in a remote setting, and open to feedback and continuous learning.