BENGALURU · FULLTIME
Lead Data Scientist
Arintra
Bengaluru · onsite · Posted 55d ago
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.4s
- Found the form on Instahyre · 11 questions to answer1.6s
- Decided the answers for all of them2.3s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
We are looking for a Lead Data Scientist to own our core AI platform architecture and data formulation strategy. You will lead training data design, multimodal AI systems, and high-cardinality data mining across real-world healthcare datasets.
Responsibilities:
- Data Strategy and Mining: Structure, label, and mine historical decision data, claim outcomes, and domain signals to optimize continuous model performance.
- Platform Architecture: Own the architecture of batch, real-time inference, and model training pipelines across NLP, traditional ML, and Gen AI workloads.
- Multi-Modal Systems: Architect AI systems combining unstructured clinical text, structured EHR data, and domain knowledge.
- Engineering Leadership: Mentor AI engineers, lead technical build vs. buy evaluations, and drive engineering best practices.
Requirements:
- 8+ years building and deploying production AI/ML systems at scale.
- Technical Mastery: Deep experience in PyTorch/TensorFlow, NLP, traditional ML, and Gen AI deployments.
- Data Focus: Proven track record where data quality, active labeling strategy, and feature curation were the core drivers of success.
- Cloud and Infrastructure: Hands-on experience with AWS/Azure/GCP and containerized deployments (Docker, Kubernetes).
Preferred Experience:
- Building self-improving AI (RLHF, active learning, feedback loops).
- Healthcare domain exposure (FHIR, HL7 ICD, CPT) or regulated AI environments.
- MLOps tooling, multi-modal architectures, and interpretable/explainable AI systems.
Sourced from instahyre
Section · 02
Skills
Section · Company
About Arintra
Arintra
11-50
employees
2020
6 years old
Austin
US
About
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention.
Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains.
Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow.
Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units.
Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.
Industries
Employee ratings
7 reviews
Culture
2.0
Career growth
2.0
Work-life
1.6
Find them on