Machine Learning Engineer Machine Learning Engineer …

UBS
in Weehawken, NJ, United States
Permanent, Full time
Last application, 22 Aug 19
Competitive
UBS
in Weehawken, NJ, United States
Permanent, Full time
Last application, 22 Aug 19
Competitive
Job Reference #197940BR

Your role

Are you interested in pursuing your career in Asset Management? Does working in a data driven business excite you? Do you want to be part of the data revolution by performing hands on data analysis and developing machine learning models to produce working concepts, along with managing multiple initiatives for cross-functional data analytics needs? We’re looking for someone to work with a cross-functional team to: 
-work with a team of data scientists to create, deploy, and monitor models in production
-build components to manage the machine learning lifecycle from feature engineering through deployment and monitoring 
-develop frameworks for high performance model training and inference
-work with product managers and owners to help drive product development and innovation

Your team

Chief Data Office (CDO), within UBS Global Asset Management (AM), was established to re-define AM’s data & analytics strategy and to lead the innovation agenda for the division. The CDO provides the foundation for establishing a data and analytics driven culture, by guiding the successful delivery of both foundational and innovative solutions, in support of AM's strategic agenda. To design multi-faceted innovative solutions, the CDO is structured to encompass several functions, including Data Analytics, Data Solutions, and Data Governance.

Your expertise

You have:
-2+ years of hands-on experience with data science oriented software engineering
-experience with machine learning APIs and computational packages such as TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, StatsModels, Spark ML
-expertise with Big Data technologies such as Hadoop, Spark, Kafka, Arrow
-expertise in a language such as Python, Java, or Scala
-experience with machine learning lifecycle tools (i.e. mlflow, kubeflow)
-experience with Kubernetes

You are:
-understanding of Agile software methodology
-fluent in English with excellent verbal and written communication skills

About us

Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.

We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?

Join us

We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.

Disclaimer / Policy Statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Close
Loading...