Skills Alliance
Director of Software & Machine Learning
Skills Alliance, Oklahoma City, Oklahoma, United States
Overview
Director of Software & ML for a cardiology medical device company developing next-generation wearables. Solutions combine advanced biosensors, AI-driven analytics, and software platforms to improve cardiac patient care and support clinicians with actionable insights. Responsibilities
As Director of Software & ML, you will lead multi-disciplinary teams across software, hardware, and AI development. You’ll define the software and ML roadmap, manage development from concept through regulatory approval, and scale a high-performing engineering organization. Your work will directly impact the design and deployment of AI and software solutions in cardiac care. Must have
10+ years software development experience, 5+ years leading teams through full product lifecycle in medical devices (Class II/III) Hands-on experience with microservices, containerization (Docker/Kubernetes), cloud infrastructure (AWS/Azure/GCP), and ML pipelines Proven track record in ML development, data pipelines, and model deployment for clinical or cardiology applications Strong leadership skills with experience mentoring and growing engineering teams
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Director of Software & ML for a cardiology medical device company developing next-generation wearables. Solutions combine advanced biosensors, AI-driven analytics, and software platforms to improve cardiac patient care and support clinicians with actionable insights. Responsibilities
As Director of Software & ML, you will lead multi-disciplinary teams across software, hardware, and AI development. You’ll define the software and ML roadmap, manage development from concept through regulatory approval, and scale a high-performing engineering organization. Your work will directly impact the design and deployment of AI and software solutions in cardiac care. Must have
10+ years software development experience, 5+ years leading teams through full product lifecycle in medical devices (Class II/III) Hands-on experience with microservices, containerization (Docker/Kubernetes), cloud infrastructure (AWS/Azure/GCP), and ML pipelines Proven track record in ML development, data pipelines, and model deployment for clinical or cardiology applications Strong leadership skills with experience mentoring and growing engineering teams
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