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Data Science Engineer

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Summary

Data Science Engineer at Talview (AI-powered hiring and assessment products) in Bengaluru: builds SQL/Python data pipelines, statistical experiments, classical ML models, and LLM/GenAI evaluation workflows alongside Engineering and Product teams. 3-5 years experience; work from office with some flexibility.

Data Science Engineer Python, SQL, Statistics & Machine Learning

Company: Talview
Experience: 3-5 years
Location: Bengaluru, Karnataka
Work Mode: Work from Office, with some flexibility
Work Week: 5 days


About Talview

Talview builds AI-powered hiring and assessment solutions for enterprise organisations. Our products support candidate screening, interview scheduling and online exam proctoring, helping teams improve efficiency and make better-informed decisions.


Role Overview

We are looking for a Data Science Engineer with strong hands-on experience in Python, SQL, statistics and classical machine learning, along with experience working on GenAI and Large Language Models (LLMs).

You will work across data processing, statistical analysis, experimentation, model development, evaluation and production AI/ML workflows. You will collaborate with Engineering and Product teams to translate business problems into measurable data science solutions.

This role requires practical experience in classical ML and statistics, beyond working only with LLM APIs or prompt engineering.


Roles and Responsibilities

  • Develop complex SQL queries for data extraction, transformation, analysis and validation.
  • Use Python for data processing, exploratory data analysis, automation and reusable experimentation utilities.
  • Apply statistical analysis, hypothesis testing and experimental design to evaluate business and product outcomes.
  • Develop and evaluate machine learning models using appropriate metrics and clearly defined success criteria.
  • Build LLM workflows involving prompting, structured outputs and comparative evaluation of models and configurations.
  • Create evaluation datasets, benchmarks, sampling strategies and ground-truth validation approaches.
  • Perform error analysis and root-cause analysis to identify model failures, anomalies and performance degradation.
  • Analyse production data and troubleshoot data, model and pipeline issues.
  • Integrate data from APIs, databases and other structured and unstructured sources.
  • Collaborate with Engineering and Product teams on ML pipelines, evaluation frameworks and inference workflows.
  • Research and test techniques to improve AI/ML system performance.

Required Skills and Experience

  • 3-5 years of relevant experience in Data Science, Machine Learning, AI or a related field.
  • Strong hands-on Python programming skills.
  • Strong SQL skills for complex querying, data transformation and analysis.
  • Solid understanding of statistics, hypothesis testing, experiment design and performance measurement.


Apply with your updated resume highlighting your hands-on work in Python, SQL, classical machine learning, statistical analysis and AI/ML evaluation.


Talview is an equal opportunity employer committed to an inclusive workplace.

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