MACHINE LEARNING ENGINEER (M/F) (H/F)
Full-time
Fullscript
Were an industry-leading health technology company on a mission to help people get better. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today more than 125000 practitioners use Fullscript for clinical insights lab interpretations patient analytics education and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time simplify decisions and help practitioners stay closely connected to the people they care for. When everything they need is in one place they can focus on what matters most: helping people get better.
Bring your ideas your grit and your care for people.
Join us and shape the future of care.
Were hiring a Senior Machine Learning Engineer to join our AI team to help strengthen and expand Fullscripts AI-powered experiences. Youll work on building innovative AI capabilities that help clinicians provide better services as well as help patients improve their health.
Development and deployment of LLM-powered features including summarization tools and clinician-facing conversational agents
Build backend services in Python that integrate ML/LLM models with Fullscripts platform
Implement prompt engineering techniques to optimise model outputs
Implement AI feature quality testing CI/CD pipelines and version control for all model-related workflows
Collaborate with medical and product teams to deliver AI features for practitioners and patients
Work cross-functionally with engineering analytics and medical SMEs to refine requirements and ensure data solutions support clinical contexts
Stay current with the latest LLM research and emerging AI technologies
3 years of experience building and implementing LLM applications
- Familiarity with model evaluation and monitoring frameworks
- Strong proficiency in Python and SQL.
- Deep understanding of data engineering best practices including version control testing and CI/CD methodologies.
- Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders.
~ Bonus if you have:
Graph database experience (Neo4j)
Exposure to healthcare clinical data or decision-support systems
Flexible PTO & competitive payrest fuels performance.
Wherever You Work Wellhybrid and remote flexibility.
Were not able to respond to individual messages about open roles on email or social channels.
Accommodations are available upon request at emailprotected.
All offers are contingent on successful background checks conducted in compliance with federal state and provincial laws.
We use AI tools to support parts of the hiring process including screening and reviewing responses. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. If you would like more information about how your data is processed please contact us.
Vacancy posted 1 day ago
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