Senior ML Operations Engineer, AKASA

• Bachelor of Science in Computer Science/Software Engineering or related field
• 5+ years of work experience in software development, data engineering or machine learning
• Significant experience deploying a trained system to production (recommendation, classification or similar features)
• Backend web/web services experience with schema design and API implementation focus in a distributed environment
• Strong concurrent/parallel/asynchronous programming skills in Python
• Familiarity with FastAPI, SQLAlchemy, Postgres
• Strong communication and interpersonal skills with meticulous attention to detail

Desirable

• As a remote Sr. Software Engineer, on the Core Platform team, you will work on Medical Coding. You will work closely with the product, design, and machine learning teams to design and build services, APIs, and tools that support our internal applications and external SaaS products
• You will create and maintain backend services and deploy machine learning at scale to solve challenging problems in healthcare such as automated medical coding and document selection
• You will be responsible for developing and supporting processing pipelines involving multiple internal and external machine learning and large language models, as well as custom algorithms interpreting structured and unstructured medical information
• You will productionize models developed and trained by our ML team and troubleshoot issues. These models, together with purpose-built user interfaces, will accelerate the work of highly trained medical professionals responsible for handling millions of dollars of hospital revenue
• You will be expected to come up with creative solutions, share your experience with the team, communicate complex technical concepts to less technical users, help mentor junior team members, and work together to shape the platform architecture
• Partner closely with our product, design, and machine learning teams
• Design, build, and maintain shared APIs, tools, services, and applications
• Lead and participate in design discussions, planning sessions, and code reviews
• Debug issues and support customers
• Mentor junior engineers on the team
• Work with team members to shape AKASA’s platform architecture