AI Data Scientist

Kyriba

Kyriba, a leader in liquidity performance, provides a SaaS solution that enhances financial performance for businesses and banks globally. The company manages substantial bank transactions and payments, offering real-time data and AI tools to optimize liquidity. The AI Data Scientist role is crucial to advancing their AI capabilities and integrating them into existing platforms.

In this role you can expect to have the responsibilities:

• Design and implement generative AI algorithms for real-world challenges
• Collaborate with cross-functional teams to integrate AI technologies
• Research AI trends to enhance existing systems
• Create best practice recommendations and presentations for stakeholders
• Develop LLM-based pipelines like RAG and Agentic workflows
• Implement DevOps practices using Docker and Kubernetes
• Engage in the complete software development lifecycle

This role comes with the following benefits:

• Opportunities for professional growth in a global SaaS company
• Competitive salary with generous benefits and stock options
• Inclusive work environment that embraces diversity

This role requires you to have:

• Bachelor's or Master’s degree in Computer Science or related field
• 3+ years of software development experience in ML & LLM
• Proficiency in Python and JavaScript
• Experience with API frameworks and cloud platforms (AWS, Azure, GCP)
• Experience with AI frameworks like TensorFlow and PyTorch
• Strong knowledge of machine learning and deep learning techniques
• Expertise in NLP and computer vision

You would benefit from having:

• Experience in large-scale production deployments
• Ability to translate business requirements into technical solutions
• Strong communication skills for diverse audiences
• Experience with Data Bricks

Kyriba values diversity and inclusion, fostering a culture of community and ownership through their 'iCare' values that emphasize innovation, client success, accountability, respect, and excellence.