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Backend / ML-Ops Engineer - Speech Model Deployment & Optimization

OutcomesAIBengaluru
On-site Full-time

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Experience Level

Experience

Qualifications

Proven experience in backend development and ML-Ops. Familiarity with speech recognition and natural language processing technologies. Strong understanding of GPU optimization techniques. Experience with monitoring tools and frameworks for production environments. Ability to work collaboratively in a fast-paced, innovative team environment.

About the job

OutcomesAI is at the forefront of healthcare technology, crafting an innovative AI-enabled nursing platform designed to empower clinical teams, streamline routine workflows, and expand nursing capacity safely. Our platform uniquely integrates AI voice agents with licensed nurses to enhance patient communication, symptom triage, remote monitoring, and post-acute care, significantly alleviating administrative burdens and allowing clinicians to concentrate on providing exceptional patient care.

Our flagship product offerings include:
● Glia Voice Agents – advanced multimodal conversational agents that expertly manage patient calls, triage symptoms using evidence-based protocols, schedule appointments, and provide education and follow-up care.
● Glia Productivity Agents – intelligent AI copilots for nurses that automate charting, scribing, and clinical decision support by seamlessly integrating into EHR systems like Epic and Athena.
● AI-Enabled Nursing Services – a hybrid care delivery model where AI collaborates with licensed nurses to provide virtual triage, remote patient monitoring, and specialized support programs in areas such as oncology, dementia, and dialysis.

Our robust AI infrastructure harnesses multimodal foundation models encompassing speech recognition (ASR), natural language understanding, and text-to-speech (TTS), all meticulously fine-tuned for healthcare settings to prioritize safety, empathy, and clinical precision. All operations are conducted within a HIPAA-compliant and SOC 2-certified environment. Collaborating with leading health systems and virtual care organizations, OutcomesAI deploys and validates these capabilities at scale. We strive to create the world’s first AI + nurse hybrid workforce, revolutionizing access, safety, and efficiency across the continuum of care.

As a Backend / ML-Ops Engineer, you will be responsible for managing the infrastructure and pipelines necessary for integrating trained ASR/TTS/Speech-LLM models into production. Your focus will be on scalable serving, GPU optimization, monitoring, and the continuous enhancement of inference latency and reliability.

About OutcomesAI

OutcomesAI is a pioneering healthcare technology organization dedicated to developing AI-driven solutions that empower nursing professionals to enhance patient care while optimizing operational efficiency. Our innovative platform combines cutting-edge AI technology with human expertise to transform the healthcare landscape.

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