Senior Google Cloud Platform (GCP)/AI Engineer - Associate
Cary, 3000 CentreGreen Way
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Deutsche Bank
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Job Title Senior Google Cloud Platform (GCP) Data Engineer
Corporate Title Associate
Location Cary, NC
Who 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. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.
Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.
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. This is a unique opportunity to work at the intersection of Data Management and Machine Learning, and to contribute to the growth and success of our team.
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
Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
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, educational resources, matching gift and volunteer programs
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, such as software development, data science, and product management, to identify and prioritize infrastructure and machine learning requirements.
Stay up to date with the latest developments in Google Cloud Platform and machine learning and apply this knowledge to improve our products and processes.
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. Strong experience with infrastructure as code tools such as Terraform.
Experience with CI/CD pipelines and automated testing.
Skills That Will Help You Excel
Experience as a Data/AI Engineer with Proven expertise in designing, developing, and deploying data pipelines using GCP services or any equivalent cloud service.
Experience with Vertex AI and machine learning models and algorithms using PyTorch, TensorFlow or any other machine learning frameworks.
In-depth knowledge of Google Cloud Platform (GCP) and its core data services (GCS, Big Query, Cloud Storage, Dataflow, etc.)
Strong proficiency in Python & Structured Query Language (SQL) for data management. Familiarity with agile software development methodologies and version control systems such as Git.
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 provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
The salary range for this position in Cary is $85,000 to $120,750. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
Deutsche Bank Benefits
At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. 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. Click here to learn more!
Learn more about your life at Deutsche Bank through the eyes of our current employees: https://careers.db.com/life
The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email HR.Direct@DB.com.
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We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
We are an Equal Opportunity Employer - Veterans/Disabled and other protected categories. Click these links to view the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; Employee Polygraph Protection Act and Pay Transparency Nondiscrimination Provision.
Tags: Agile Airflow BigQuery CI/CD Computer Science Dataflow Data management Data pipelines Docker Engineering Excel Finance GCP Git GitHub Google Cloud Kubernetes Machine Learning ML models Pipelines Privacy Python PyTorch SQL TensorFlow Terraform Testing Vertex AI
Perks/benefits: Career development Competitive pay Equity / stock options Health care Home office stipend Medical leave Parental leave Transparency Wellness
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