Data Engineer Intern

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.

We are looking for a motivated and enthusiastic ML/AI/Data Engineer Intern to join our Machine Learning Platform team, which is part of our Engineering Department. The main goal of this internship is to participate in prototyping one of the future AI projects leveraging the existing Kyriba ML Platform infrastructure. For this internship, you will work alongside our data science and engineering experts, and use a cutting-edge AI technology technical stack. 

Keywords: Data, Python, Machine Learning, Databricks, Mosaic AI, SQL, AI, GenAI, AI agent, AI systems.

Position Type: Internship (Open to both graduates and senior students)

Duration: 3-6 months

Location: Poland, Remote

Requirements:

• Solid understanding of basics in Python and experience with data manipulation (e.g. SQL, PySpark, Pandas, etc).

• Understanding of fundamental ML concepts, including feature engineering, supervised learning, model evaluation metrics, and data preprocessing.

• Basic experience with machine learning frameworks and libraries such as MLFlow, and Scikit-Learn.

• Strong problem-solving skills and engineering mindset, as well as curiosity to solve fintech ML challenges.

• Intermediate (at least) level of English

• Ability to work independently and as part of a collaborative team.

• Motivation to learn new technologies and tools

• Strong communication skills, with the ability to document and explain technical findings clearly.

Responsibilities:

• Assist in prototyping, development, training, and evaluation of machine learning models for various applications.

• Preprocess and clean data, ensuring accuracy and quality for model training.

• Support in implementing and testing algorithms and techniques to improve model performance.

• Collaborate with team members to understand and support project requirements and goals.

• Participate in all the development-related ceremonies (Pull Requests review, SCRUM activities, grooming sessions, etc)

Learning Opportunities:

• Hands-on experience in designing and building real AI-driven systems

• Discover the world of Machine Learning from the developer’s perspective 

• Exposure to industry-leading tools and technologies in AI/ML domain

Benefits:

• Mentorship from experienced professionals in the area

• Practical experience within an international SaaS provider leveraging public cloud solutions

• Flexibility in work hours to accommodate academic commitments

• Networking opportunities within the organization