Data Science Engineer

Data Science Engineer – Talview Experience: 5–7 years Location: Bengaluru, Karnataka, India Work Mode: Work from office with some flexibility Who We Are Hiring is still stuck in the past. Manual screening. Unconscious bias. Candidates waiting weeks for feedback. Organizations drowning in administrative work instead of finding real talent. We’re fixing that with AI that works. Talview builds GenAI-powered solutions that make hiring and assessment faster, fairer and scalable. We automate interview scheduling, candidate screening and exam proctoring so organizations can focus on 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. Our impact: 10M+ assessments delivered across 120+ countries, trusted by leading global organizations. The Role We are seeking a talented Data Science Engineer to join our team. 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 and 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 and evaluate ML systems: Develop and evaluate machine learning models and AI systems using quantitative metrics and clearly defined success criteria. • Work with LLMs: Build 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 and pipeline issues, and assess real-world system performance. • Integrate data sources: Work with APIs, databases and different data sources for collection and integration. • Collaborate across teams: 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 and experiment: Explore new ML, LLM and AI techniques to identify opportunities to improve system performance. You Might Be a Fit If… You Have • 5–7 years of relevant experience in Data Science, Machine Learning, AI or a related field. • Strong hands-on SQL experience for complex data extraction, transformation and analysis. • Strong Python skills for data processing, exploratory analysis, experimentation and automation. • A good understanding of statistics, experiment design, hypothesis testing and performance measurement. • Experience developing and evaluating machine learning models and AI systems. • Experience working with LLMs, prompting, structured outputs and evaluation. • Experience designing model evaluation metrics, benchmarks and error-analysis approaches. • The ability to work with APIs, databases, structured datasets and unstructured datasets. • Strong analytical and problem-solving skills, including root-cause analysis. • The 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 and 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. We work together, deliver quality, trust each other, focus on users and communicate openly. Our team includes off-roaders, bikers, table tennis champions, cricketers, marathon runners, musicians and gamers. We have thriving families and happy singles. You’ll find your crew here—and you’re welcome to bring talented friends along. What You Get • Competitive compensation. • A fully stocked pantry: Healthy fruits, snacks and gourmet coffee to fuel your creativity. • The tools you need: Equipment and software that help you do your best work. • A five-day work week with flexibility: Work-life balance matters here. • Monthly team lunches and annual team-building offsites. • Team gatherings and celebrations: Actual fun, not forced corporate bonding. • Career acceleration: Opportunities to grow with a scaling company. Want something we haven’t listed? Talk to us. We’re open to discussing what works for you. Location and Application Based in: Bengaluru, Karnataka, India Work mode: Work from office with some flexibility Ready to build and evaluate AI systems that power enterprise hiring? 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.