Data Engineer & AI/ML Specialist
Atmosera empowers businesses to redefine what's possible with modern technology and human expertise. Our exceptional experience across Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), Atmosera expertly delivers cutting-edge, integrated solutions that deliver business value.
We are seeking an experienced Data Engineer / AI/ML Specialist to join the development team building a next-generation AI-powered Electronic Health Record (EHR) MVP for senior and assisted living facilities. This platform will combine core EHR functionality with real-time AI capabilities—including document ingestion pipelines, predictive analytics, and natural language search/chat—running on Microsoft Azure.
The contractor will be embedded in an agile co-development team, working closely with solution architects, backend/frontend developers, and DevOps engineers, as well as the client’s technical leadership and product owner. The role will own the design and delivery of the data pipelines, AI/ML integrations, and supporting infrastructure needed to bring the MVP to life.
This is a contractor position in the United States with the ability to work from home but may require travel to a client site.
Atmosera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), 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. All employment is decided on the basis of qualifications, merit, and business need.