AI Engineer 2
Arintra · Bengaluru · onsite · Posted 82d ago
About a minute. You'll make an account on the way through.
About this role
Responsibilities:
- Design, develop, fine-tune, and optimize NLP and LLM-based solutions.
- Build scalable AI/ML systems and production-ready applications.
- Work extensively with Transformer architectures and state-of-the-art language models.
- Conduct experiments, evaluate model performance, and improve accuracy through data-driven approaches.
- Collaborate with product, engineering, and research teams to deliver AI-powered features and products.
- Develop clean, efficient, and maintainable Python code following software engineering best practices.
- Stay current with advancements in generative AI, NLP, and machine learning research.
Requirements:
- 3-6 years of experience in AI, machine learning, NLP, or related domains.
- Strong Python programming and software engineering skills.
- Solid understanding of NLP concepts and Transformer architectures.
- Hands-on experience in model building, fine-tuning, evaluation, and deployment.
- Strong computer science fundamentals, including algorithms, data structures, and system design.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Strong analytical and problem-solving abilities
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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