Applied ML Engineer

🕒 March 4

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Knowtex

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

<Knowtex> is an enterprise clinical AI platform that listens to clinician–patient conversations and automatically generates structured clinical notes, billing codes (ICD-10, CPT, E&M, HCC), orders, referrals, and trial-matching insights while integrating with existing EHR systems. The HIPAA- and SOC 2–compliant SaaS product focuses on automating documentation and coding across 50+ medical specialties, improving clinical workflow efficiency, coding accuracy, and revenue capture for health systems, government entities (e. g. , Veterans Health Administration), and specialty clinics.

📋 Description

• Productionize ML models for real-time clinical applications • Optimize inference pipelines for low latency and high throughput • Deploy and scale models using AWS-based infrastructure • Build automated evaluation and regression testing frameworks for LLM outputs • Implement monitoring systems for model performance and drift detection • Collaborate with Backend teams to integrate ML services into APIs and workflows • Improve model efficiency through quantization, batching, caching, and optimization techniques • Support specialty-level model evaluation and performance analysis • Contribute to CI/CD workflows for ML deployment

🎯 Requirements

• 3–7+ years of experience in machine learning engineering or applied ML roles • Strong proficiency in Python and PyTorch (or TensorFlow) • Experience deploying ML models in production environments • Familiarity with transformer architectures and large language models • Experience with model optimization techniques (quantization, distillation, pruning) • Experience working with cloud infrastructure (AWS preferred) • Strong software engineering fundamentals and debugging skills

🏖️ Benefits

• Meaningful equity compensation • Unlimited PTO • Premium health, dental, and vision coverage • 401(k) plan