Incyte is looking to expand its AI/ML competency within the US Dermatology Business Unit by designing, developing, and deploying cutting-edge machine learning and AI solutions to drive informed decision-making and achieve process and decision automation.
Requirements
- Demonstrated proficiency in Python for data processing, machine learning model development, and API integration required.
- Experience in R and R Shiny for creating interactive data visualizations and applications.
- Experience with Azure Cloud Platform and Azure Data Factory for creating data pipelines and connecting to various data storage systems, including blob storage.
- Strong knowledge of Databricks for data engineering and model training in distributed computing environments.
- Familiarity with large language models (LLMs), such as ChatGPT, for building conversational AI and natural language processing applications.
- Proven experience with SQL databases, including Azure Synapse, for complex querying, data integration, and reporting.
- Knowledge of graph databases and data modeling to support predictive analytics and relational data structures is a plus.
Responsibilities
- Design, build, and deploy machine learning and predictive models to solve business problems.
- Develop, implement, and maintain data pipelines using Azure Data Factory, connecting with various data sources, including blob storage and SQL databases.
- Use Databricks to analyze, process, and transform large datasets, preparing them for machine learning models and reporting.
- Work with large language models (LLMs) like ChatGPT to integrate conversational AI features, leveraging API programming for seamless interaction with applications.
- Design and implement data models and work with graph databases to support predictive analytics and complex data relationships.
- Create interactive dashboards and applications with R Shiny for data visualization and decision-making support.
- Develop and maintain APIs to enable efficient data communication between various systems and applications.
Other
- Strong communication skills with the ability to translate technical insights for non-technical stakeholders.
- Project management experience to independently handle multiple projects, ensuring timely and high-quality delivery.
- Ability to work independently, demonstrating self-motivation and a proactive approach to problem-solving.
- Must have a combined 3 – 5 years of hands-on experience building AI/ML solutions in industry and/or academia.
- BS in Computer Science, Information Systems, Engineering, or a related field. Advanced degree or relevant certifications preferred.
