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.
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.
About the role:
We are seeking a skilled AI Innovation Lab Data Scientist to join our team and drive cutting-edge artificial intelligence initiatives. The ideal candidate will have expertise in machine learning, software engineering, and a passion for developing innovative AI solutions.
Key Tasks:
Design, develop, and implement state-of-the-art generative AI algorithms to address real-world challenges
Collaborate with cross-functional teams to integrate AI technologies into existing platforms
Conduct research and stay current with AI trends to suggest improvements to existing systems
Create and deliver best practice recommendations, tutorials, and presentations for technical and business stakeholders
Develop and deploy LLM-based pipelines involving patterns like RAG, Agentic workflows, and PEFT
Implement DevOps practices using tools like Docker and Kubernetes to ensure continuous integration and delivery
Participate in the complete software development lifecycle, from requirements analysis to deployment
What We're looking for:
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
3+ years of experience in software development with relevant work in ML & LLM app development
Strong coding skills with proficiency in Python and JavaScript
Experience with API frameworks (e.g., Fast API, Django)
Proficiency in cloud platforms, specifically AWS, Azure, or GCP
Strong experience with LLM patterns, APIs (e.g., OpenAI, Anthropic, AWS Bedrock), and SDKs (e.g., Langchain, DSPy)
Knowledge of software engineering practices, version control, and Agile methodologies
Experience with AI frameworks and libraries such as TensorFlow, PyTorch, and Keras
Strong knowledge of machine learning algorithms and deep learning techniques
Expertise in natural language processing (NLP) and computer vision
Experience with large language models (LLMs) and related patterns like RAG
Desired Skills:
Experience in production deployments involving thousands of users
Ability to translate business requirements into technical solutions
Strong communication skills and ability to convey complex technical concepts to diverse audiences
Experience with Data Bricks
Why join Kyriba?
We offer you the potential to explore various parts of our business and grow professionally with the company. Opportunity to be part of building something exceptional in an international environment and lots of learning and growth in a globally scaling Saas company! We offer competitive salary + generous benefits plan + stock options available.
Diversity & Inclusion: Kyriba is proud to be an equal opportunity employer. We celebrate diversity and are committed to providing an inclusive environment for all employees.
Our Culture & Values: At Kyriba, we embrace a culture of community and ownership, guided by our “iCare” values:
Innovation: Rewarding achievements and fostering continual improvement.
Client Success: Understanding and enabling client success.
Accountability: Personal responsibility and continuous improvement.
Respect: Embracing diverse cultures and open communication.
Excellence: Striving for excellence through leadership and integrity.
Join us to make an impact and grow your career in a supportive and innovative environment!
