Machine Learning Engineer

Job not on LinkedIn

October 22

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Logo of AvaSure

AvaSure

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

• Design, develop, and deploy machine learning models aligned with business goals, with a focus on computer vision-based solutions (e.g., real-time image processing, object tracking, and visual classification) • Build and maintain data pipelines to support model training and inference, including image/video preprocessing and feature extraction • Train, fine-tune, and optimize models using modern ML frameworks and deep learning architectures for CV (e.g., CNNs, vision transformers, multimodal models) • Deploy ML solutions to production and integrate them with internal and external systems • Write clean, well-tested, and maintainable code • Conduct and participate in code reviews to maintain high quality standards • Perform root cause analysis and debugging to ensure model and system reliability • Partner with cross-functional teams to translate business requirements into ML and CV solutions • Conduct feasibility studies and develop prototypes for emerging CV technologies, including edge AI, real-time inference, and sensor data fusion • Stay up to date on ML and CV trends and contribute to process and technology improvements.

🎯 Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field (Master’s preferred) • 2 - 4 years of experience in building and deploying machine learning models in production • Proficiency in Python and at least one ML framework (e.g., TensorFlow, PyTorch, scikit-learn) • Experience with cloud platforms (e.g., AWS, GCP, OCI, or Azure) and containerization (e.g., Docker, Kubernetes) • Familiarity with CI/CD pipelines for ML • Strong problem-solving skills and ability to work independently as well as in team settings.

🏖️ 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 • 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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