Sr. Applied AI/ML Engineer
Core
Design and implement large-scale data and ML pipelines integrating customer first-party data with a petabyte-scale data lakehouse to drive product capabilities.
Role type
Senior Applied AI/ML Engineer (Data & ML Pipelines)
Builds
Scalable data and ML pipelines, predictive insight prototypes, and reusable data capabilities
Domain
Big Data, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Apache Spark, Python, AWS technologies, ML pipeline architecture, predictive modeling, feasibility study design
Preferred skills
Healthcare and life sciences domain experience, experimental design, statistical modeling methodologies
Technologies
Apache PySpark, Apache Iceberg, AWS EMR, Glue, S3, Python, PyTorch, sklearn, xgboost, catboost, mlflow, AWS SageMaker, Airflow
Responsibilities
Own the design and implementation of data and ML pipelines; Prototype predictive insight products; Run rapid feasibility studies; Identify commonalities to synthesize reusable data capabilities
Seniority
Senior, hands-on IC