About the Team  

Our innovative Research and Development team is at the forefront of revolutionizing Home Medical Equipment (HME), Durable Medical Equipment (DME), out-of-hospital care, and home health services. Leveraging cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we aim to enhance patient outcomes, streamline caregiver workflows, and drive efficiency across the continuum of care.

Our intelligent solutions are designed to empower caregivers and healthcare providers. By bridging technology and healthcare, we are shaping the future of care delivery, ensuring it is smarter, more efficient, and more impactful.

About the Role  

- Lead the design and development of advanced systems for automated data collection, curation, and ML model training.  

- Write production grade code with proper unit test coverage

- Collaborate with cross-functional teams, including product, UX, and engineering, to architect ML solutions tailored to the needs of caregivers and home health services.  

- Drive innovation by utilizing the latest deep learning libraries and technologies to develop solutions for predictive analytics, workflow optimization, and patient care improvement.  

- Mentor and provide technical leadership to ML engineers and data scientists, fostering best practices and technical excellence.  

- Build and deploy highly scalable, production-ready ML services, ensuring reliability and high-quality performance.  

- Research, implement, and deploy innovative algorithms to address complex healthcare challenges, such as risk prediction and personalized care plans.  

- Optimize ML pipelines and ensure their seamless integration into production environments using state-of-the-art deployment tools and practices.  

- Analyze large, distributed datasets to uncover actionable insights that improve caregiver workflows and enhance patient care.  

- Ensure models meet healthcare industry standards for explainability, fairness, and compliance with regulations like HIPAA.  

Let's Talk About You  

- Education: Master’s or Bachelor’s degree in Computer Science, Machine Learning, or a related field.  

- Experience:  

  - 3+ years of hands-on experience in ML model development, data pipelines, and feature engineering.  

  - Strong expertise in Python programming and frameworks like FastAPI, pydantic, pandas, numpy.  

- Good understanding of Test Driven Development

- Ability to follow industry standards in Object Oriented Programming software development

  - Experience with cloud platforms, particularly AWS (e.g., SageMaker, S3, Lambda, DynamoDB, API Gateway).  

  - Proficient in building CI/CD pipelines and deploying scalable solutions with Kubernetes or similar technologies.  

  - Expertise in handling and processing large datasets, including distributed systems such as Hadoop or Spark.  

- Skills:  

  - Advanced understanding of machine learning techniques, including deep learning, time series analysis, and recommendation systems.  

  - Ability to design end-to-end ML workflows, from data ingestion to production deployment and monitoring.  

  - Exceptional problem-solving skills and a passion for leveraging AI to improve home healthcare services.  

What You Can Expect  

A supportive environment that focuses on people's development and best implementation

Opportunity to design, influence, and be innovative.

Work with inclusive global teams and the open sharing of new ideas. We want your ideas!

Be supported both inside and outside of the work environment.

The opportunity to build something meaningful and see a direct positive impact on people’s lives!

Dream big, iterate and experiment to drive innovation.

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.