DS/ML Intern

Srmap; Bengaluru; On-site; INR 350,000 - 700,000; Full time

Job summary

Srmap in Bengaluru, India is seeking a candidate currently pursuing or recently completing a degree in CS, DS, ML to join our data science efforts. You will build evaluation frameworks, maintain automated scoring, and work on end-to-end ML projects with Python and SQL.

You’ll engage in MLOps tasks, experiment with routing decisions, and help ensure low-latency model serving while balancing cost and quality. A strong curiosity for product decisions and backend/frontend integration is valued.

Qualifications

• Pursuing or completed degree in CS/DS/ML or related field.
• Experience building and running data science or ML projects end-to-end beyond notebooks.
• Proficiency in Python and working knowledge of SQL.
• Basic understanding of applied statistics and interpreting metrics.
• Builder mindset with curiosity about product decisions, backend, and frontend development beyond modeling.

Responsibilities

• Build evaluation systems for AI features, including failure taxonomies and LLM-as-judge rubrics.
• Maintain automated scoring systems to ensure quality as models and prompts evolve.
• Manage model routing and inference economics balancing cost, quality, and latency per task.
• Conduct experiments to validate routing choices and detect regressions.
• Transform noisy real-world signals into reliable scores using statistics.
• Advance heuristic-driven approaches toward calibrated and monitored systems.
• Engage in MLOps and production tasks such as feature pipelines, model versioning, rollout, and monitoring for drift and quality decay.
• Collaborate with engineering teams to ensure reliable, low-latency model serving.

Skills

Python

SQL

Statistics basics

MLOps concepts

Education

Pursuing or recently completed degree in Computer Science, Data Science, Machine Learning

Job description

Your Role

Here’s what you will be doing:

• Build evaluation systems for AI features, including failure taxonomies, LLM-as-judge rubrics, golden datasets, and calibration against human judgment.
• Maintain automated scoring systems to ensure quality as models and prompts evolve.
• Manage model routing and inference economics by balancing cost, quality, and latency per task.
• Conduct experiments to validate routing choices and detect regressions.
• Transform noisy real-world signals into reliable scores using statistical rigor.
• Advance heuristic-driven approaches toward calibrated and monitored systems.
• Engage in MLOps and production tasks such as feature pipelines, model versioning, rollout, and monitoring for drift and quality decay.
• Collaborate with engineering teams to ensure reliable, low-latency model serving.

About You

The company is looking for:

• Individuals currently pursuing or recently completed a degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience building and running data science or machine learning projects end to end, beyond just notebooks.
• Proficiency in Python and working knowledge of SQL.
• Basic understanding of applied statistics, able to interpret metrics and their limitations.
• A builder's instinct with curiosity about product decisions, backend, and frontend development, not limited to modeling.
• Some exposure to large language models (LLMs), including prompting, API usage, or experimentation with model behavior.

Nice to have:

• Experience with evaluation or observability tools for LLM features.
• Coursework or projects in information retrieval, entity-matching, or record-linkage.
• Interest in developer productivity, code analytics, or developer experience data.