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Mid-level ML role, metro location, and well-known employer increase applicant competition significantly.
Core ML, MLOps and LLM skills are transferable across industries, but product/HR domain knowledge adds moderate specificity.
Explicit years, advanced degree preferred, and mandatory production ML, MLOps, cloud, and LLM skills make filters strict.
Design, develop, and deploy scalable data science and AI solutions within workforce management and HCM products.
Own end-to-end ML/AI pipelines and models including validation, deployment, monitoring, and iteration to ensure system reliability and business impact.
Lead project work and mentor junior data scientists to drive AI innovation and maintain high technical standards.
Advanced degree (MS or PhD) in a quantitative field or equivalent industry experience.
5-7+ years' experience in a software product environment, with at least 3 years as a hands-on Data Scientist.
Proven ability to build, train, and deploy ML models in production using Python (pandas, scikit-learn, PySpark), SQL/BigQuery, version control, and cloud ML infrastructure (AWS/GCP/Azure).
Work location: Must work from Noida office three days a week.
Experienced in large-scale data analysis and modern ML including NLP, deep learning, time-series, or clustering, with preference for generative AI and LLM expertise.
Able to independently lead projects from problem definition to production deployment, demonstrating strategic thinking and execution capability.
Skilled at cross-functional collaboration and communicating complex model insights clearly to both technical and non-technical stakeholders.