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Capco

Data & AI Warsaw Tech Summit 2026: Applied AI Engineer – Build Real AI Products (Hybrid/Warsaw)

Reposted Yesterday
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Poland
Mid level
Remote or Hybrid
Hiring Remotely in Poland
Mid level
Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.
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CAPCO POLANDApplied AI Engineer – Build Real AI ProductsCapco at Data & AI Warsaw Tech Summit 2026

Capco drives digital transformation across the financial industry.

A global consulting firm focused on financial services, Capco partners with leading banks, fintechs, and financial institutions to design and deliver next-generation data platforms, AI solutions, and digital ecosystems.

From data strategy and modern platforms to AI-powered decision systems and GenAI innovation, teams unlock measurable value from data.

What defines Capco?

A fast, flexible, and entrepreneurial environment. Quick decision-making, creative thinking, and real ownership enable people to push the boundaries of what technology can achieve.

Capco stands for:

• Trusted partnerships with banks, payments providers, and financial institutions
• Delivery of modern data platforms and AI-powered systems
• Innovation across cloud, data engineering, machine learning, and GenAI
• A community of engineers, architects, and consultants solving complex challenges

Meet Capco at the Data & AI Warsaw Tech Summit 🚀

At this year’s Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems.

Our experts will explore how organizations can:

• Build AI-native architectures on modern cloud platforms
• Scale machine learning and generative AI solutions across enterprise environments
• Transform fragmented data into high-value data products
• Embed AI into real business workflows and decision-making systems

Capco Speakers at Data & AI Warsaw Tech Summit 🚀Andrzej Worona & Laura Żusin-Kaczmarek 

Topic: From Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking

Time: 11:50-12:10 CET

Intro:

Many AI solutions still fall short when it comes to understanding and reasoning about complex financial concepts. The real challenge is about how financial knowledge is represented and shared with machines. Why does AI still misunderstand basic banking terms despite having access to vast amounts of data?
How can AI truly understand financial concepts? Using the Financial Industry Business Ontology (FIBO) as an example of structured domain knowledge, we will discuss how formal, machine-readable definitions can provide the contextual foundation AI needs. By analysing selected conversational banking scenarios and example solutions, we will invite participants to reflect together on what the right semantic layer for AI in banking should look like.
Join us to discover why the next leap in AI for banking isn’t just about more data or better models, but about building a structured understanding of financial meaning.

Looking for AI Engineers

Capco is always looking for talented engineers who are passionate about turning cutting-edge AI into real-world impact.

Our teams work at the intersection of data engineering, machine learning, and cloud architecture, building intelligent systems that help organizations unlock the power of data and AI.

What you’ll do

• Design and develop AI-powered applications and services
• Build and deploy machine learning and generative AI solutions
• Integrate AI models into production systems and business workflows
• Work with large-scale data platforms and distributed datasets
• Optimize and monitor AI models in production environments
• Collaborate with cross-functional teams to translate business problems into AI-driven solutions

Tech Stack
  • Languages
    Python (primary)
  • Machine Learning
    TensorFlow, PyTorch, Scikit-learn
  • Data Processing
    Apache Spark
  • Orchestration
    Apache Airflow
  • Cloud Platforms
    AWS • Google Cloud (GCP) • Microsoft Azure
  • AI Tooling
    LLM frameworks, AI APIs, and modern GenAI tooling
About You

• Experience building AI or machine learning solutions
• Strong programming skills in Python
• Experience with machine learning frameworks
• Familiarity with data engineering concepts and large datasets
• Experience deploying solutions in cloud environments (AWS, GCP, or Azure)
• Passion for building production-ready AI systems


If you're attending Data & AI Warsaw Tech Summit, come meet the Capco team, learn from our experts, and explore how we are shaping the future of data and AI in financial services. 😊


ONLINE RECRUITMENT PROCESS STEPS

  • Screening call with the Recruiter
  • Hiring Manager Technical Interview
  • Feedback
  • Offer

We offer a flexible collaboration model based on a B2B contract with the opportunity to work on diverse projects.

Top Skills

Apache Airflow
Spark
AWS
GCP
Azure
Python
PyTorch
Scikit-Learn
TensorFlow

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