Machine Learning Intern

Location: Bangalore

Employment Type: Internship

Full-Time Opportunity: Based on performance

About the Role

We are looking for a highly motivated and analytical AI/ML & Strategy Exploration Intern to join our team. The role involves working with data, supporting Machine Learning activities, exploring data-driven strategies, and solving analytical problems.

The ideal candidate should have strong problem-solving skills, fundamental knowledge of Machine Learning, and a good foundation in Mathematics and Statistics.

Key Responsibilities

- Prepare, clean, organize, and analyze datasets for AI/ML and strategy-related projects.
- Perform data preprocessing and basic statistical analysis.
- Assist with manual evaluation and validation of ML model outputs.
- Explore datasets to identify patterns, trends, relationships, and potential signals.
- Support the exploration and evaluation of data-driven strategies.
- Apply fundamental Mathematics, Statistics, and Machine Learning concepts to practical problems.
- Assist in testing and validating models, strategies, and analytical results.
- Identify data-quality issues, inconsistencies, and meaningful insights.
- Document findings, observations, and analysis clearly.
- Work closely with the AI/ML and research teams on ongoing projects.
- Take ownership of assigned problems and approach them with structured and logical thinking.

Requirements

- Education: B.Tech/B.E.



in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.
- Graduation Year: 2026 pass-out candidates only.
- Strong problem-solving and analytical skills.
- Good understanding of fundamental Machine Learning concepts.
- Strong foundation in Mathematics and Statistics.
- Good logical and quantitative reasoning ability.
- Basic knowledge of Python.
- Familiarity with NumPy, Pandas, or similar data-processing tools is preferred.
- Ability to analyze data and interpret results.
- Curiosity and willingness to learn and work on challenging problems.

Good to Have

- Exposure to Machine Learning, Data Science, Quantitative Research, or Financial Markets.
- Experience with academic, personal, or internship projects involving ML, statistics, mathematics, or data analysis.

Eligibility

- B.Tech/B.E. – 2026 batch graduates.
- Candidates from Computer Science, AI/ML, Data Science, Mathematics, Statistics, Engineering, or related disciplines.
- Candidates with strong mathematical, analytical, and problem-solving skills are encouraged to

apply. Full-Time Opportunity

Candidates who demonstrate strong performance, technical ability, problem-solving skills, and meaningful contribution during the internship may be considered for a full-time chance based on performance and business requirements.

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