WHO ARE WE?
The Wound Pros is a nationwide Wound Care Medical Group with over 3000 five-star Google and Facebook reviews whose mission is to heal wounds, save lives, and reduce costs for our partnering agencies. Our full-service wound care strategy has added enormous value to patients who are homebound or reside in long-term facilities across the country by providing an array of essential tools, including Digital Wound Management, Telemedicine, Advanced EHR systems, Mobile Vascular Assessment, Digital Supply tracking, Advanced Wound Care Dressings as well as a participating Medicare Part B provider. We are a purpose-centered organization focused on providing peace of mind to every patient we come in contact with who has a chronic non-healing wound. We are devoted to preserving our culture by excellently adhering to our core values, "Link."
We Listen- We are committed to always taking the time to listen to our clients and team members.
We Innovate- Our culture is to be in a continuous state of innovation and implement new ideas as our business grows and our landscape changes.
We Never Give Up- We are dedicated to overcoming any obstacle or moment of adversity that comes our way.
We "Kultivate" and Grow People- We are enthusiastic about supporting the growth of our team members both personally and professionally.
We pride ourselves in supporting a culture of autonomy, allowing our team members to implement new ideas without fear of failure. Implementing raffles, games, and other enjoyable group activities with our team is essential to maintaining a positive culture while working tenaciously to accomplish our goals.
JOB SUMMARY
The Wound Pros is seeking a highly skilled and innovative Principal Machine Learning Engineer to drive the advancement of our data science and AI capabilities, focusing on multimodal models, large language models (LLMs), and augmented reality (AR) applications. This role is critical in fast-tracking the maturity of our AI offerings and integrating cutting-edge technologies into our wound care solutions.
WHAT ARE YOUR ASSIGNMENTS
Lead the development and deployment of Computer Vision models.
Explore the development and deployment of multimodal models integrating text, image, and other data types.
Implement and manage MLOps practices to streamline model deployment and monitoring.
Mentor junior data scientists and engineers.
Collaborate with cross-functional teams to integrate AI solutions into products and services.
Establish best practices and documentation for AI projects.
Conduct research to advance the state-of-the-art in multimodal models, LLMs, and AR.
Optimize model performance and scalability.
Ensure compliance with data privacy and security regulations.
WHAT YOU HAVE ALREADY ACHIEVED
Master's or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field.
5+ years of experience in machine learning, with a focus on multimodal models and Computer Vision.
Extensive experience with deep learning frameworks, particularly PyTorch.
Proficiency in MLOps tools and practices for automated model deployment and monitoring.
Strong background in large language models (LLMs) and their applications in various contexts.
Knowledge of augmented reality (AR) technologies and their integration with AI solutions.
Proven ability to lead and mentor technical teams, driving innovation and excellence.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Familiarity with healthcare data regulations and security practices.
BENEFITS
You will have the full support of the department manager and team members.
Vacation, Sick, Paternity & Maternity available.
10 Paid Federal Holidays.
Medical, Dental, and Vision insurance.
401K plan available.
EQUAL OPPORTUNITY EMPLOYER:
The Wound Pros is an equal opportunity employer committed to being an employer of choice, not just an excellent place to work but a great and inclusive place to work. We strive to recruit and maintain a diverse workforce. Qualified applicants will receive consideration for employment without regard to race, physical or mental disability, color, religious creed, ancestry, national origin, religion, age, sex, marital status, genetic information or testing, gender identity and expression, sexual orientation or status as a Vietnam-era or special disabled veteran or any characteristic protected by law.
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