Machine Learning Intern
Talent to Job
IndiaFresher1h agovia LinkedIn
Posted 13 Nov 2026, 12:27 IST · Last seen open on LinkedIn 13 Nov, 12:52 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year · Bachelor's degree
- Must know
- Machine learningData structures & algorithmsData analysisPythonStatisticsscikit-learn
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning94%Python75%Data structures & algorithms32%Data analysis25%of 99 similar fresher jobs posted in India this week
- Listed
- 13 Nov 2026 · still open
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About the Role
Talent to Job is seeking a motivated and analytical Machine Learning Engineer to contribute to the development, training, testing, and evaluation of machine learning models for practical business applications. This role involves working with datasets, applying machine learning algorithms, performing feature engineering, evaluating model performance, and developing data-driven solutions.
Key Responsibilities
- Collect, clean, and preprocess datasets for machine learning projects.
- Perform exploratory data analysis (EDA) to understand datasets and identify patterns.
- Identify and select relevant features for machine learning models.
- Develop, train, and test machine learning models.
- Evaluate model performance using appropriate metrics and techniques.
- Optimize models to improve accuracy, efficiency, and overall performance.
- Create visualizations to communicate analytical findings and model results.
- Document experiments, methodologies, and technical findings.
- Research emerging machine learning techniques, algorithms, and industry practices.
- Collaborate with team members on machine learning and AI-based projects.
- Assist in developing machine learning solutions for real-world applications.
Requirements & Tech Stack
- Basic to intermediate knowledge of Python programming.
- Understanding of statistics and data analysis concepts.
- Familiarity with Pandas, NumPy, and Scikit-learn.
- Basic understanding of supervised and unsupervised learning algorithms.
- Knowledge of data preprocessing and feature engineering.
- Understanding of machine learning model evaluation techniques.
- Strong analytical and problem-solving skills.
- Good communication, research, and teamwork skills.
Qualifications
- Bachelor's degree or currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
- Strong interest in machine learning and artificial intelligence.
- Understanding of fundamental machine learning concepts and algorithms.
- Ability to work with datasets and solve analytical problems.
- Willingness to learn new technologies and contribute to practical machine learning projects.
Compensation
- Performance-based compensation, up to ₹35,000/-.