OutcomesAI

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

Bengaluru Full-time Hybrid
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Job Description

OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity. Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care — reducing administrative burden and enabling clinicians to focus on direct patient care. Our core product suite includes: ● Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups. ● Glia Productivity Agents – AI copilots for nurses that automate charting, scribing, and clinical decision support by integrating directly into EHR systems such as Epic and Athena. ● AI-Enabled Nursing Services – a hybrid care delivery model where AI and licensed nurses work together to deliver virtual triage, remote patient monitoring, and specialty patient support programs (e.g., oncology, dementia, dialysis). Our AI infrastructure leverages multimodal foundation models — incorporating speech recognition (ASR), natural language understanding, and text-to-speech (TTS) — fine-tuned for healthcare environments to ensure safety, empathy, and clinical accuracy. All models operate within a HIPAA-compliant and SOC 2–certified framework. OutcomesAI partners with leading health systems and virtual care organizations to deploy and validate these capabilities at scale. Our goal is to create the world’s first AI + nurse hybrid workforce, improving access, safety, and efficiency across the continuum of care. Own the infrastructure and pipelines for integrating trained ASR/TTS/Speech-LLM models into production. Focus on scalable serving, GPU optimization, monitoring, and continuous improvement of inference latency and reliability.

Frequently Asked Questions

What does the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization role at OutcomesAI involve?

The Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at OutcomesAI in Bengaluru is a full-time role. OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity. Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care — reducing administrative burden and enabling clinicians to focus on direct patient care. Our core product suite includes: ● Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups.

What skills are required for Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization at OutcomesAI?

Key skills for this role include: Scala, LLM.

What is the salary for Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization at OutcomesAI?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization position at OutcomesAI remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in Bengaluru.

How do I apply for Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization at OutcomesAI?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Backend / ML-Ops Engineer — Speech Model Deployment & Inference Optimization at OutcomesAI is a full-time backend position in Bengaluru. Key skills include Scala, LLM. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as hybrid and is suitable for mid level-level professionals. Ghost Score 20/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.