Illumina is seeking an AI/ML Engineer to optimize revenue forecasting and uncover new revenue opportunities within their Global Commercial Finance team, aiming to enhance productivity and decision-making.
Requirements
- Proficiency in Python, SQL, and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
- Experience with time series forecasting, regression modeling, and classification techniques.
- Experience working with large datasets and cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of causal inference, Bayesian modeling, or reinforcement learning.
- Experience with Generative AI (GenAI) technologies and their application in commercial or financial domains is a plus.
- 6+ years of experience in machine learning, data science, or AI engineering roles.
- Proven experience building and deploying AI/ML solutions in a commercial or financial context.
Responsibilities
- Design, develop, and deploy machine learning models to forecast revenue and uncover new revenue opportunities across global markets.
- Stay current with the latest AI/ML research and tools and be a thought leader in evaluating their applicability to Illumina’s commercial finance agenda
- Build and operationalize novel AI products that improve the efficiency, accuracy, and strategic capabilities of the commercial finance organization.
- Collaborate with cross-functional stakeholders to understand business needs and translate them into scalable AI/ML solutions.
- Construct robust data pipelines and model deployment frameworks in partnership with data engineering teams.
- Apply advanced statistical and machine learning techniques to identify and prioritize high-value revenue opportunities, optimize commercial strategies, and support data-driven decision-making.
- Continuously monitor model performance and retrain models as needed to ensure accuracy and relevance.
Other
- Ph.D. or Master’s in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
- Strong communication skills and ability to collaborate across diverse business and technical teams.
- Experience in the life sciences, biotech, or healthcare industry.
- Familiarity with financial planning tools and ERP systems (e.g., SAP HANA etc.).
- Typically requires a minimum of 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent experience.
