Machine Learning Manager

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Logo of AvaSure

AvaSure

201 - 500 employees

Founded 2008

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

AvaSure is an intelligent virtual care platform company that provides AI-enabled applications, real-time analytics, and modular in-room devices to enable virtual nursing, patient safety observation, specialty consults, and workforce optimization across hospitals and care settings. Its computer-vision and AI-powered solutions blend virtual and in-person care to reduce adverse events, improve patient outcomes, and deliver measurable ROI; the company supports deployments, clinical evidence, and change management for health systems.

📋 Description

• Lead the architecture and end-to-end execution of the ML lifecycle - data strategy, model development, deployment, and continuous operation - primarily for computer vision and LLM/agentic systems • Own the MLOps foundation: training and deployment pipelines, model serving, CI/CD for models, and reproducible experimentation • Set and enforce standards for model accuracy and quality (evaluation frameworks, offline and online metrics, regression testing of models, and A/B testing) and hold the team to defined targets • Ensure production AI systems are scalable and highly available: define service-level objectives for latency, throughput, and uptime, and establish monitoring, drift detection, alerting, and rollback practices • Plan and manage team workload: delegate tasks, set daily, weekly, and monthly goals, and track progress against them • Partner with product, data engineering, DevOps/infrastructure, and clinical stakeholders to align priorities and drive projects forward

🎯 Requirements

• Bachelor's degree in a related field (Computer Science, Computer Information Systems, or equivalent) • Advanced degree in Computer Science, Machine Learning, or a related discipline is preferred • 7+ years of related machine learning or software engineering experience, including 3+ years managing technical teams • Demonstrated experience leading teams that delivered ML/AI systems to production at scale, with accountability for accuracy, reliability, and availability • Hands-on expertise in computer vision and/or LLM/agentic systems, with the ability to set the technical direction for both • Expert-level proficiency in Python and strong command of the modern ML stack • Proficiency in at least two ML frameworks (for example, PyTorch, TensorFlow, or Hugging Face Transformers) • Working knowledge of MLOps practices: model deployment, serving, monitoring, drift detection • Solid software engineering fundamentals, including design patterns, test-driven development, unit testing, and effective troubleshooting and debugging practices • Able to lead, support, motivate, and mentor technical team members

🏖️ Benefits

• AvaSure sponsored Medical, Dental & Vision • Safe Harbor 401K with Employer Matching up to 4% • HSA Employer Contributions, Employer Paid Life, Short-term and Long-term Disability, and AD&D Insurance Plans • Flexible Time Off Plan & Paid Holidays • Parental Leave • Generous Tuition & Continuing Education Reimbursement available • Employee Referral Bonus

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