Company: RapidClaims

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series A

Industry: Healthcare

Salary Range: ₹ 20-35 Lacs PA

RapidClaims is a leader in AI-driven revenue cycle management, transforming medical coding and revenue operations with cutting-edge technology. The company has raised $11 million in total funding from top investors, including Accel and Together Fund. Join us as we scale a cloud-native platform that runs transformer-based Large Language Models rigorously fine-tuned on millions of clinical notes and claims every month.

You’ll engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at lightning speed, deliver reimbursement insights with sub-second latency and >99 % accuracy, and tackle the deep-domain challenges that make clinical AI one of the hardest—and most rewarding—problems in tech.

Machine Learning Engineer - Job Overview

We are seeking a skilled and innovative Machine Learning Engineer with expertise in Natural Language Processing (NLP) and an interest in the latest AI models . This role focuses on driving innovation by introducing non-traditional approaches, deploying scalable models, and implementing advanced AI techniques to solve real-world challenges. The ideal candidate is a strong programmer with a research mindset and the ability to translate the latest advancements in AI into impactful solutions.

Key Responsibilities

- Develop, deploy, and maintain ML models and pipelines for NLP tasks.
- Design and set up self-hosted models for specific tasks, ensuring efficiency and scalability.
- Establish workflows for fine-tuning, feedback loops, and online learning to enhance model performance.
- Implement and optimize prompt refinement techniques to improve results.




- Continuously research and evaluate state-of-the-art AI advancements to integrate into the organization's solutions.
- Contribute to existing and new projects by:
- Streamlining processes for better estimation and scaling solutions.
- Enhancing testing tools and pipelines for AI development.
- Collaborate with teams to identify opportunities for applying AI and ML to solve complex problems efficiently.
- Build and productionize deep learning models, ensuring seamless integration into existing systems.

Requirements

- Bachelor’s degree in Computer Science, Machine Learning, or a related field.
- 2-4 years of experience in machine learning or applied AI roles.
- Strong Python skills with experience in hosting and maintaining ML models at scale.
- Proficiency in a deep learning framework (e.g., PyTorch or TensorFlow).
- Ability to explore and evaluate research papers, identifying key methods and techniques for application.
- Capable of combining existing tools and frameworks to create efficient and effective solutions.
- Solid foundation in machine learning principles and statistical techniques.
- Strong communication skills to convey complex ideas to technical and non-technical stakeholders.

Preferred Qualifications

- Familiarity with cloud platforms, containerization tools (e.g., Docker, Kubernetes), and production-level AI workflows.
- Experience working with domain-specific data, such as clinical or biomedical datasets.
- Interest in cutting-edge AI techniques, with aspirations to co-author research or contribute to industry advancements.
- Knowledge of advanced NLP techniques, including prompt engineering and refinement frameworks.
- Exposure to signal processing applications in various domains.

This role is ideal for individuals passionate about combining technical expertise and cutting-edge thinking to address unique challenges and shape the future of AI applications.

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