Machine Learning Engineer

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 opportunity based on performance and business requirements.

Work arrangement
No