AI Data Engineer at Kyriba Corp
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Jun, 25

Salary

0.0

Posted On

20 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

AI Data Engineer
It’s fun to work in a company where people truly BELIEVE in what they’re doing!
We’re committed to bringing passion and customer focus to the business.

ABOUT US

Kyriba is a global leader in liquidity performance that empowers CFOs, Treasurers and IT leaders to connect, protect, forecast and optimize their liquidity. As a secure and scalable SaaS solution, Kyriba brings intelligence and financial automation that enables companies and banks of all sizes to improve their financial performance and increase operational efficiency. Kyriba’s real-time data and AI-empowered tools empower its 3,000 customers worldwide to quantify exposures, project cash and liquidity, and take action to protect balance sheets, income statements and cash flows. Kyriba manages more than 3.5 billion bank transactions and $15 trillion in payments annually and gives customers complete visibility and actionability, so they can optimize and fully harness liquidity across the enterprise and outperform their business strategy. For more information, visit www.kyriba.com.

Responsibilities

ABOUT THE ROLE

We are seeking a talented AI Data Engineer to join our Innovation Lab, where you will be at the forefront of developing cutting-edge AI and data solutions. You will work on transformative projects, leveraging generative AI and advanced data engineering techniques to solve complex business challenges

KEY TASKS:

  • Design and implement scalable data pipelines and workflows in cloud environments
  • Develop and optimize AI and machine learning models, with a focus on generative AI applications
  • Collaborate with cross-functional teams to align data solutions with business needs
  • Research and apply innovative AI techniques to address real-world problems
  • Ensure data quality, security, and governance across all AI and data projects
  • Contribute to the development of AI strategy and showcase potential through early-stage solutions
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