Ingeniero de Plataforma de Aprendizaje Automático

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services  that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation. WHAT YOU'LL DO Responsibilities:   • Develop   and enhance the machine learning platform to manage the full model life cycle    • Build frameworks   and tools   to   enable   the data science team   develop ing   and enhanc ing   predictive model s ,   support   scalable   real-time predictions in production   • Design and implement   data engineering solutions   for   model training   • Expand NLP capabilities with advanced analysis techniques to improve text understanding   • Design and implement   high-performance, scalable services and applications   • Collaborate with team members to create integrated solutions and ensure   timely   delivery of quality software and documentation   • Understand   and a dhere to development standards for consistency across teams   • Perform   in-depth   technical and performance analyses to troubleshoot production issues   • Monitor and   maintain   production systems   for reliability and efficiency   WHAT YOU'LL NEED • Minimum   Requirements (Education,   certifications   and experience): • Bachelor’s degree in Computer Science   or related area ,   Masters preferred   • 7 + years of professional experience writing Python   or Java   code ,   with at least 3 years building data platforms   • Expert   proficiency   with SQL   • NLP • Seasoned practitioner of engineering best practices such as   CI/CD and automated testing   • Comfort working in a Linux environment   • Passion for exploring,   applying   and following the evolution of   cutting edge   technologies related to AI, machine learning, NLP and   large scale   data processing   • Professional experience with   MLOps , Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures   • Experience with public cloud solutions, such as AWS or   GCP   • Proven   track record   of successful delivery of progressively complex technical projects   • Coaching and mentoring junior engineers in the team   • Team player DNA with a positive, self-starter attitude   • Attention to detail, highly organized, with an absolute focus on quality of work   Preferred Requirements:   • Familiarity with   ClearML , Triton,   PyTorch , and TensorFlow   • Familiarity with statistics and healthcare domain   • Proven   expertise   in successful large project/build management and execution   ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.  We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com   or follow @Waystar   on Twitter.    WAYSTAR PERKS • Competitive total rewards (base salary + bonus, if applicable) • Customizable benefits package (3 medical plans with Health Saving Account company match) • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays • Paid parental leave (including maternity + paternity leave) • Education assistance opportunities and free LinkedIn Learning access • Free mental health and family planning programs, including adoption assistance and fertility support • 401(K) program with company match • Pet insurance • Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.