Lead Data Scientist
Arintra
Bengaluru (On-site) · Full-time
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About the job
Responsibilities:
- Own data problem formulation for AI systems using healthcare, claims, coding, and payer data.
- Design training data strategies, including data extraction, labeling, annotation, and quality improvement.
- Mine large, complex datasets to identify high-value patterns for improving AI/coding accuracy.
- Architect and evolve AI/ML platforms covering training, batch processing, and real-time inference.
- Build multi-modal AI systems using clinical text, structured EHR data, and domain knowledge.
- Evaluate AI tools/platforms and drive build vs. buy decisions.
- Mentor AI engineers across NLP, traditional ML, and GenAI.
- Collaborate with data engineering, GenAI/NLP, and product teams on data and model strategy.
Requirements:
- 8+ years building and deploying production AI/ML systems.
- Strong experience with complex, domain-specific data and high-cardinality datasets.
- Deep expertise across NLP, traditional ML, and GenAI, with production experience in each.
- Expert-level PyTorch or TensorFlow with experience in model training at scale.
- Strong hands-on experience with data quality, labeling, and training data curation.
- Experience with AWS/Azure/GCP and containerized AI workloads usingDocker/Kubernetes.