Hybrid Machine Learning Engineer Machine Learning Engineer with verification

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.SummaryAs a Machine Learning Engineer Architect, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning architectures in the cloud from a base prototype, as well as optimizing, monitoring, and updating existing systems. To thrive in this position, you must possess a deep understanding of data science and cloud software engineering principles, as well as exceptional skills in statistics and programming. Your ultimate objective will be to deploy and maintain highly efficient AI based and self-learning applications to support various enterprises throughout the business.Your role in our mission

• Study, transform, and deploy data science prototypes
• Design machine learning systems
• Select appropriate datasets and data representation methods
• Perform statistical analysis and fine-tuning using test results
• Research and implement appropriate ML algorithms and tools
• Develop and deploy machine learning applications according to requirements
• Select appropriate environments and architectures to deploy machine learning systems
• Monitor and maintain deployed ML systems
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

What we're looking for

• Proven experience as a Machine Learning Engineer Architect or similar role
• Ability to write robust code in Python and proven experience with AWS architectural design and Databricks
• Deep knowledge of math, probability, statistics and algorithms
• Understanding of data structures, data modeling and software architecture
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

What you should expect in this role

• Remote work within the United States

The pay range for this position is $99,200.00 - $141,700.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits , and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.