Discover International are supporting an exciting Digital Healthcare company to grow their Data Science team.
Our client is looking to hire several Senior Data Scientist / LLM Engineer's
In this role, you will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML & LLM solutions to boost intelligence and outcomes.
Required Experience/Skills
• Experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML (Python)
• Digital Healthcare industry experience developing, launching, and maintaining machine learning systems at scale
• Must be familiar in developing and fine-tuning LLM systems (strong experience with RAG preferred)
• Strong cross-functional communication with technical and non-technical partners
• Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines (SQL, Python)
• Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability
Key Responsibilities:
• Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, LLM, mathematical, and statistical approaches
• Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas
• Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings
• Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners
Nice to have....
• Dedication to mentorship and growing strong collaborative data science teams
• Exposure to agent-based GenAI frameworks
• Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting
• Experience with healthcare data and industry
• Practical hands-on experience with Databricks; Exposure to a broad ecosystem of data platform technologies such as AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks
• PhD/Master’s degree in Computer Science, Engineering, or related field
Location: Anywhere
Posted: Sept. 26, 2024, 11:13 a.m.
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