Talview - Data Science Engineer

Role : Data Science Engineer - Talview

Who We Are :

Hiring is still stuck in the past. Manual screening. Unconscious bias. Candidates are waiting weeks for feedback. Organizations drown in admin work instead of finding real talent.

We're fixing that with AI that works.

Talview builds Gen AI - powered solutions that make hiring and assessment faster, fairer, and scalable. We automate the busy work - interview scheduling, candidate screening, exam proctoring - so organizations can focus on what matters : discovering great people.

Meet our AI team :

- Alvy : The world's first AI Proctoring Agent - intelligent exam monitoring that scales globally

- Ivy : Our conversational AI Interviewer transforming first - round screenings with zero bias

The impact? 10M+ assessments delivered, 120+ countries served, trusted by leading global organizations.

The Role

We are seeking a talented Data Science Engineer to join our team.

In this role, you will work across SQL development, Python - based data processing, statistical analysis, machine learning, Large Language Models (LLMs), experimentation, evaluation, and production AI/ML workflows. You will translate ambiguous business and product problems into measurable data science problems and collaborate with Engineering, Product, and other stakeholders to improve AI/ML systems.

Expect a dynamic development environment, flexible working hours, and the opportunity to work alongside some of the brightest minds in the industry.

What You'll Do:

- Analyze & transform data : Build complex SQL queries for data extraction, transformation, analysis, and validation across structured and unstructured datasets.

- Build with Python : Use Python for data processing, exploratory data analysis, automation, reusable scripts, utilities, and experimentation frameworks.

- Design experiments : Perform statistical analysis, hypothesis testing, experiment design, and interpretation of experimental results.

- Build & evaluate ML systems : Develop and evaluate machine learning models and AI systems using quantitative metrics and clearly defined success criteria.

- Work with LLMs : Build LLM workflows involving prompting, structured outputs, evaluation, and comparative analysis of models, prompts, and configurations.

- Create evaluation frameworks : Design datasets, sampling and annotation strategies, ground - truth validation, benchmarks, and evaluation frameworks for AI/ML systems.

- Find failure patterns : Perform error analysis and root - cause analysis to identify model failures, edge cases, anomalies, and sources of model degradation.

- Understand production behavior : Analyze production data, debug data/model/pipeline issues, and understand real - world system performance.

- Integrate data sources : Work with APIs, databases, and different data sources for collection and integration.

- Collaborate cross - functionally : Work with Engineering, Product, and other stakeholders to define technical requirements and measurable outcomes.

- Improve AI systems : Support production AI/ML system design and contribute to decisions related to data, ML pipelines, evaluation, and inference.

- Research & experiment : Explore new ML, LLM, and AI techniques and identify opportunities to improve system performance.

You Might Be a Fit If :

- 5 - 7 years of relevant experience in Data Science, Machine Learning, AI, or a related field.

- Strong hands - on experience with SQL for complex data extraction, transformation, and analysis.

- Strong Python skills for data processing, exploratory analysis, experimentation, and automation.

- Good understanding of statistics, experiment design, hypothesis testing, and performance measurement.

- Experience developing and evaluating machine learning models and AI systems.

- Experience working with Large Language Models (LLMs), prompting, structured outputs, and evaluation.

- Experience designing model evaluation metrics, benchmarks, and error - analysis approaches.

- Ability to work with APIs, databases, structured datasets, and unstructured datasets.

- Strong analytical and problem - solving skills, including root - cause analysis.

- Ability to translate ambiguous business or product problems into measurable data science problems.

- Strong collaboration skills for working with Engineering, Product, and other stakeholders.

Bonus points for :

- Experience designing end - to - end ML or LLM workflows.

- Hands - on experience with dataset creation, sampling, annotation strategy, and ground - truth validation.

- Experience analyzing production ML/AI systems and debugging model or pipeline issues.

- Experience building reusable experimentation or evaluation utilities/frameworks.

What Makes This Role Different :

- Work across the full AI/ML lifecycle - from data and experimentation to evaluation and production analysis.

- Build evaluation systems and benchmarks for real - world ML and LLM applications.

- Investigate model behavior, failure patterns, and edge cases that directly influence product improvements.

- Collaborate closely with Product and Engineering on AI system design and measurable outcomes.

- Research and experiment with emerging ML, LLM, and AI techniques.

Our Culture : The 5Cs

We're built on Collaboration, Commitment, Credence (trust), Customer - centricity, and Candor.

What You Get :

- Competitive compensation

- Fully stocked pantry with healthy fruits, snacks, and gourmet coffee to fuel your creativity

- The tools you need : Whatever equipment and software helps you do your best work

- 5 - day work week + flexibility : Work - life balance isn't just a buzzword here

- Monthly team lunches and annual team building offsites

- Team gatherings and celebrations : Actual fun, not forced corporate bonding

- Career acceleration : Extraordinary opportunities to grow with a scaling company

Location & Application :

Based in : Bengaluru, Karnataka, India

Work mode : WFO with some flexibility

Ready to build and evaluate AI systems that power enterprise hiring?

Hit apply and show us how you approach data, experimentation, ML, and AI problems.

Talview is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.