Deutsche Bank
Senior Google Cloud Platform (GCP)/AI Engineer - Associate
Deutsche Bank, Cary, North Carolina, United States, 27518
Job Title:
Senior Google Cloud Platform (GCP) Data EngineerCorporate Title:
AssociateLocation:
Cary, NCWho we are:In short - an essential part of Deutsche Bank's technology solution, developing applications for key business areas. Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally.Overview:Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, environmental, social, and governance (ESG) Risk Mitigation as well as Corporate Sustainability. We are seeking an experienced Data/AI Engineer to join our Sustainability Technology team, with a focus on Google Cloud and Machine Learning. The successful candidate will be responsible for designing, implementing, and maintaining our team's Data integrations on Google Cloud Platform, while also combining machine learning models and algorithms into our products.What We Offer You:A diverse and inclusive environment that embraces change, innovation, and collaboration.A hybrid working model with up to 60% work from home, allowing for in-office/work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility.Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values.Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits.What You'll Do:Design, implement, and maintain our Sustainability products and Data on Google Cloud Platform, including GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, Anthos, etc.Design, develop, and maintain data pipelines using GCP services in developing and implementing data ingestion and transformation processes using tools like Composer, Apache Airflow, Dataflow, and Pub/Sub.Automate data processing tasks using scripting languages like Python.Collaborate with software developers to integrate machine learning models and algorithms into our products, using PyTorch, TensorFlow, or other machine learning frameworks.Develop and maintain CI/CD pipelines for our products, using tools such as GitHub and GitHub actions.Create and maintain Infrastructure as Code templates using Terraform.Work closely with other teams to identify and prioritize infrastructure and machine learning requirements.Stay up to date with the latest developments in Google Cloud Platform and machine learning.Skills You'll Need:Bachelor's degree in Engineering, Computer Science, or Information Systems.At least 5 years of experience in a Data/AI role, with a focus on Google Cloud Platform.Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.Experience on Vertex AI and machine learning frameworks such as TensorFlow or PyTorch.Strong proficiency in Python & Structured Query Language (SQL) for data manipulation and querying.Expectations:It is the Bank's expectation that employees hired into this role will work in the Cary office in accordance with the Bank's hybrid working model.Deutsche Bank Benefits:At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home.We welcome applications from all people and promote a positive, fair and inclusive work environment.
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Senior Google Cloud Platform (GCP) Data EngineerCorporate Title:
AssociateLocation:
Cary, NCWho we are:In short - an essential part of Deutsche Bank's technology solution, developing applications for key business areas. Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally.Overview:Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, environmental, social, and governance (ESG) Risk Mitigation as well as Corporate Sustainability. We are seeking an experienced Data/AI Engineer to join our Sustainability Technology team, with a focus on Google Cloud and Machine Learning. The successful candidate will be responsible for designing, implementing, and maintaining our team's Data integrations on Google Cloud Platform, while also combining machine learning models and algorithms into our products.What We Offer You:A diverse and inclusive environment that embraces change, innovation, and collaboration.A hybrid working model with up to 60% work from home, allowing for in-office/work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility.Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values.Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits.What You'll Do:Design, implement, and maintain our Sustainability products and Data on Google Cloud Platform, including GCP services such as Google Kubernetes Engine (GKE), Cloud Storage, Vertex AI, Anthos, etc.Design, develop, and maintain data pipelines using GCP services in developing and implementing data ingestion and transformation processes using tools like Composer, Apache Airflow, Dataflow, and Pub/Sub.Automate data processing tasks using scripting languages like Python.Collaborate with software developers to integrate machine learning models and algorithms into our products, using PyTorch, TensorFlow, or other machine learning frameworks.Develop and maintain CI/CD pipelines for our products, using tools such as GitHub and GitHub actions.Create and maintain Infrastructure as Code templates using Terraform.Work closely with other teams to identify and prioritize infrastructure and machine learning requirements.Stay up to date with the latest developments in Google Cloud Platform and machine learning.Skills You'll Need:Bachelor's degree in Engineering, Computer Science, or Information Systems.At least 5 years of experience in a Data/AI role, with a focus on Google Cloud Platform.Experience with containerization technologies such as Docker and container orchestration tools such as Kubernetes.Experience on Vertex AI and machine learning frameworks such as TensorFlow or PyTorch.Strong proficiency in Python & Structured Query Language (SQL) for data manipulation and querying.Expectations:It is the Bank's expectation that employees hired into this role will work in the Cary office in accordance with the Bank's hybrid working model.Deutsche Bank Benefits:At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home.We welcome applications from all people and promote a positive, fair and inclusive work environment.
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