Posted in: Other in Dallas | Posted: |
Job Description
Role Summary
Experian EITS is looking for an experienced machine learning engineer who will play a key role in bridging data science and engineering by implementing solutions to develop tools, standards and services that provide a global platform for machine learning (ML/AI) in the cloud. Experian has a long history of innovation in AI/ML across regions and business units. Recent inflections in areas such as Generative AI have increased the demand for faster evaluation and standardization of tools to provide an extensible platform for further innovation. We are looking for an experienced contributor with practical experience in ML modeling, data engineering and production ML platform architecture. The person in this role will work closely with other technology teams in order to shape the inception, implementation and deployment of new models.
Knowledge, Skills and Experience
Key Responsibilities
Apply analysis, machine learning techniques, predictive modeling, and data mining to help solve business problems across global business units.
Design and implement technical solutions for data ingestion, cleansing, transformation and storage
Key contributor to productizing complex modeling/machine learning project, POCs and new product development, including design, coding and model deployment
Problem solving with scientific rigor that results in precise and reproducible outcomes
Exploration of novel and innovative technologies to enhance existing products and shape new products
Work collaboratively with engineers and scientists across regions and business units
