Principal Engineer - Development (AI/ML , Java )

Job Description

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, wed like to ask you: Are you FIS?

About the role:

• As an AI/ML hands on engineer, you will be responsible for developing and deploying AI and machine learning models tailored to the financial domain.
• This includes risk management, fraud detection, credit scoring, predictive analytics, and process automation.
• You will work closely with data scientists, engineers,and business stakeholders to create scalable and secure AI/ML architectures that align with business objectives and compliance standards.

About the team:

The AI/ML engineer will be part of central AI team within Treasury and Risk division, responsible for supporting all products withing treasury and risk portfolio. This team plays a critical role in driving the strategic vision for these teams, ensuring that AI/ML solutions are aligned with the business goals and technology roadmap. The team provides architectural guidance and leadership to drive innovation and create scalable, secure AI/ML systems.

What you will be doing:

• Design and develop end-to-end AI/ML product tailored for financial use cases such as fraud detection, credit risk assessment, portfolio optimization, and predictive analytics.
• Implement machine learning pipelines that support both real-time and batch processing requirements.
• Develop strategies for model retraining and continuous improvement based on real-world financial data and outcomes.
• Model Development and Deployment:

Develop, train, test, and deploy AI models.

Ensure that models are integrated into the organization's production environment, following best practices for scalability and maintainability.

Optimize models for performance, accuracy, and interpretability in the financial context.

• Data Pipeline Management:

Collaborate with data engineers to build data pipelines that support AI/ML model development, ensuring data integrity, privacy, and compliance

with financial regulations (e.g., GDPR, PCI DSS).

Design solutions to process large-scale datasets, both structured and unstructured, using distributed computing platforms (e.g., Spark, Hadoop,

or cloud-based solutions like AWS, GCP, Azure).

• Collaboration and Stakeholder Management:

Work with cross-functional teams including product, engineering, and operations to identify business challenges that can be addressed using AI/ML.

Communicate complex technical concepts to non-technical stakeholders, ensuring alignment with business goals and risk management.

• Governance and Compliance:

Ensure that solution meet the regulatory and compliance requirements of the financial industry.

Develop governance frameworks around model interpretability, fairness, and transparency, adhering to legal and ethical standards. Implement strong security measures to protect financial data and AI assets.

What you bring:

• Hands on 6+ experience in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or H2O.ai.
• Deep understanding of model optimization techniques and machine learning algorithms like XGBoost, Random Forest, and deep learning architectures
• (RNN, CNN, LSTM).
• Strong programming skills in Python, R, Java, or Scala.
• Experience with SQL and NoSQL databases.
• Familiarity with data privacy and security regulations in the financial domain (e.g., GDPR, PCI DSS, SOX).
• Experience in working with cloud technologies.
• Experience with Natural Language Processing (NLP), LLM.
• Familiarity with Explainable AI (XAI) techniques to ensure transparency and accountability in decision-making processes.

What we offer you:

• A work environment built on collaboration, flexibility and respect
• Competitive salary and attractive range of benefits designed to help support your lifestyle and wellbeing (including private healthcare, 27 days of vacation, hybrid work mode, etc.)
• Varied and challenging work to help you grow your technical skillset

Ready to start your journey with us?