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Senior Data Scientist
Kroll
Bengaluru, IND
Senior · 5+ years experience
Hybrid
Discovered 1 weeks ago
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Responsibilities
- Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications
- Build and fine-tune models — from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented generation (RAG) systems
- Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications
- Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow
- Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, AKS), including CI/CD, model versioning, and drift detection
- Validate model inputs, outputs, and business impact; establish robust testing and monitoring practices
- Partner with engineering, product, and business stakeholders to scope problems and translate ML capabilities into measurable outcomes
- Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients
- Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI
Requirements
- Advanced degree (MS or PhD) in computer science, statistics, mathematics, analytics, or a related quantitative field
- 5+ years of applied machine learning experience, including delivering models to production
- Strong Python skills and experience with the modern ML stack (scikit-learn, PyTorch or TensorFlow, pandas, Hugging Face Transformers)
- Hands-on experience with Databricks (notebooks, jobs, MLflow, Unity Catalog) and Spark/PySpark
- Production experience on Azure — ideally including Azure AI Foundry, Azure OpenAI Service, and Azure Data Lake
- Breadth across ML domains: traditional/statistical ML, deep learning, NLP, and LLM/GenAI applications, including hands-on experience with prompt engineering, RAG, embeddings, and agentic workflows
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