What are the responsibilities and job description for the Data Engineer - Machine Learning Operations position at Factory Mutual Global?
Overview
Factory Mutual Global is a leading provider of engineering-based risk management and property insurance solutions for the world's largest businesses. We rely on a dynamic team of employees working in over 100 countries to deliver innovative solutions to our clients.
The Machine Learning Operations Data Engineer IV will join our AI/ML team to design and implement a robust data platform and pipelines that enable advanced analytics. This role offers the unique opportunity to develop AI/ML-based applications with a meaningful impact on our customers.
The machine learning platform helps manage various components of the ML application development life cycle, from data ingestion to model training, deployment, and monitoring. The successful candidate will work closely with cross-functional teams across the organization to ensure smooth integration of ML models into production environments.
This role requires hands-on experience implementing AI/ML solutions and platform tooling for Data Science. Expert knowledge in Spark SQL, PySpark, and Python programming languages is essential. Additionally, experience with libraries such as Pandas, scikit-learn, and MLFlow is highly preferred.
The ideal candidate will have a strong understanding of data engineering concepts and be proficient in both R and Python programming languages. Experience with cloud platforms, containerization technologies, and automated testing frameworks for ML models is also desired.
This position offers an excellent opportunity to work with a dynamic team, develop AI/ML-based applications, and make a meaningful impact on our customers.
Factory Mutual Global is a leading provider of engineering-based risk management and property insurance solutions for the world's largest businesses. We rely on a dynamic team of employees working in over 100 countries to deliver innovative solutions to our clients.
The Machine Learning Operations Data Engineer IV will join our AI/ML team to design and implement a robust data platform and pipelines that enable advanced analytics. This role offers the unique opportunity to develop AI/ML-based applications with a meaningful impact on our customers.
The machine learning platform helps manage various components of the ML application development life cycle, from data ingestion to model training, deployment, and monitoring. The successful candidate will work closely with cross-functional teams across the organization to ensure smooth integration of ML models into production environments.
This role requires hands-on experience implementing AI/ML solutions and platform tooling for Data Science. Expert knowledge in Spark SQL, PySpark, and Python programming languages is essential. Additionally, experience with libraries such as Pandas, scikit-learn, and MLFlow is highly preferred.
The ideal candidate will have a strong understanding of data engineering concepts and be proficient in both R and Python programming languages. Experience with cloud platforms, containerization technologies, and automated testing frameworks for ML models is also desired.
This position offers an excellent opportunity to work with a dynamic team, develop AI/ML-based applications, and make a meaningful impact on our customers.