AI Data Engineer

Kyriba

Kyriba, a global leader in liquidity performance, empowers financial leaders with intelligent and automated solutions. They are seeking an AI Data Engineer to drive innovation in their cutting-edge AI and data projects. This role exists to tackle complex business challenges using advanced AI and data engineering techniques.

In this role you can expect to have the responsibilities:

• Design and implement scalable data pipelines and workflows in cloud environments.
• Develop and optimize AI and machine learning models, focusing on generative AI.
• Collaborate with cross-functional teams to align data solutions with business needs.
• Research and apply innovative AI techniques to solve real-world problems.
• Ensure data quality, security, and governance in AI and data projects.
• Contribute to AI strategy development and showcase early-stage solutions.

This role comes with the following benefits:

• Explore various business areas and grow professionally.
• International environment with opportunities for learning and growth.
• Competitive salary, generous benefits plan, and stock options.

This role requires you to have:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proficiency in Python and SQL.
• Experience with big data technologies like Hadoop and Spark.
• Understanding of machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch.
• Experience with cloud platforms, including AWS, Azure, or GCP.

You would benefit from having:

• Knowledge of data modeling, ETL/ELT processes, and data warehouse design.

Kyriba commits to diversity and inclusion, providing an equitable environment. Their culture embraces community, ownership, and 'iCare' values focusing on innovation, client success, accountability, respect, and excellence.