Artificial Intelligence Intern

Meril; Bengaluru; On-site; INR 167,000 - 279,000; Full time

Job summary

Meril seeks a motivated AI/ML & Strategy Exploration Intern to join our Bengaluru team. The role involves data work, supporting ML activities, and exploring data-driven strategies with a focus on analytical problem solving.

You will preprocess data, assist with ML model evaluation, and collaborate with AI/ML and research teams. Proficiency in Python basics, and familiarity with NumPy/Pandas is preferred; graduation in 2026 from CS/AI/ML/Math/Stats is expected.

Qualifications

• Education as specified: B.Tech/B.E. in CS/AI/ML/Data Science/Math/Stats, 2026 pass-out.
• 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.

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.

Skills

Problem-solving

Analytical thinking

Machine Learning concepts

Mathematics & Statistics

Python basics

NumPy

Pandas

Education

B.Tech/B.E. in CS/AI/ML/Data Science/Mathematics/Statistics (2026 pass-out)

Tools

NumPy

Pandas

Job description

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.
• 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

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