Job Opportunities API

  About us TeleTracking began with a simple but powerful belief that  no one should wait for the care they need . More than a slogan, it’s a promise to continually improve healthcare. TeleTracking builds groundbreaking technology  incorporating deep clinical expertise . Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities. What’s your contribution to the TeleTracking story? When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point.   Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.  About the role We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.  What you will do   Design, develop, and implement machine learning  and deep learning  models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes. Build and  optimize  data ingestion and modeling pipelines as needed Utilize domain driven techniques and design patterns to build and contribute to technical design. Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in  TeleTracking  Technologies to  identify  and develop high-impact machine learning solutions. Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging) . Ensure data privacy and security, adhering to healthcare regulations such as HIPAA  and GDPR , especially when working with sensitive hospital data. Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems. Monitor, troubleshoot, and enhance the performance of deployed models using  MLOps  best practices, ensuring they  operate  effectively in hospital environments. Write technical architectural and design documents.   What we look for   Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare  or similar  settings. Strong programming skills  and experience  with object or component-oriented development software, one or more of:  Python  or  R, with  proficiency  in ML frameworks , one or more of:  TensorFlow,  PyTorch , or Scikit-learn. Expertise  in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments. Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with  very large  datasets  and  deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.) Assess model performance; train multiple models; carry out tuning .