Sagility | Research Engineer

3 weeks ago

bangalore, India Sagility Full time
Role Overview:
Sagility is a technology-enabled, pure-play healthcare focused solutions and services provider that supports US-based payers, providers, and their partners to deliver best-in-class operations, enhance the member and provider experience, and improve the quality of care all while delivering cost effective healthcare financial and clinical outcomes.
We recently bolstered our GenAI team with the acquisition of Seattle based BirchAI a healthcare technology company offering cloud-based, GenAI call technology built by experts in transformer-based natural language processing. As a Research Engineer specializing in NLP and ASR. In this role, you’ll develop and implement cutting-edge AI technologies, focusing on real-time inference, scalability, and enhancing Conversational AI systems.
Key Responsibilities:
Develop Algorithms: Apply state-of-the-art NLP and ASR algorithms to advance AI capabilities.
Stay Informed: Keep up with deep learning research and share key insights with the team.
Innovate in Production: Design and implement production-ready techniques for NLP, ASR, and Conversational AI.
Optimize Models: Enhance model performance for real-time use and scalability.
Analyze & Improve: Conduct error analysis to boost accuracy and robustness.
Manage Data Pipelines: Build and maintain pipelines for continuous model improvement.
Collaborate: Work with cross-functional teams to integrate AI features into applications.
Research Application : Translate cutting-edge research into practical, impactful solutions.
Technical Skills: Proficient in PyTorch; familiar with frameworks like Fairseq or Transformers.
Research & Coding: Experience in applied research, strong coding skills, and problem-solving abilities.
Passion for AI: Expertise in AI areas such as Text Summarization, Speech Recognition, or Conversational AI.
Deployment Experience: Experience in deploying and scaling AI models in production with real-time processing needs - is a plus.
Analytical Skills: Strong in error analysis and model debugging for speech and language models.

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