Sr. AI Researcher
Arintra · Bengaluru · onsite · Posted 1d ago
About a minute. You'll make an account on the way through.
About this role
Responsibilities:
- Owned data problem formulation for AI systems using healthcare, claims, coding, and payer data.
- Designed training data strategies, including data extraction, labelling, annotation, and quality improvement.
- Mine large, complex datasets to identify high-value patterns for improving AI/coding accuracy.
- Architect and evolveAI/ML platformscovering 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 withcomplex, 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, labelling, and training-data curation.
- Experience with AWS/Azure/GCP and containerised AI workloads using Docker/Kubernetes.
Sourced from instahyre
Skills
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
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