Data & Ai Warsaw Tech Summit 2026: Machine Learning Engineer – From Models To Production
Capco
Poland, Poland
On-site
Design, build, and deploy ml solutions
Scalable ml pipelines and workflows
Operationalize models (mlops)
Capco drives digital transformation across the financial industry, partnering with leading banks, fintechs, and financial institutions
Job Summary
Capco drives digital transformation across the financial industry, partnering with leading banks, fintechs, and financial institutions.
At the Data & AI Warsaw Tech Summit, Capco will share how financial institutions can move from experimentation to production-grade AI and scalable data ecosystems.
We are looking for a Machine Learning Engineer to design, build, and deploy scalable machine learning solutions, working closely with data scientists, data engineers, and product teams.
Matching Summary
Capco drives digital transformation across the financial industry, partnering with leading banks, fintechs, and financial institutions.
Skills & Requirements
Must-have
design, build, and deploy ML solutions
scalable ML pipelines and workflows
operationalize models (MLOps)
optimize model performance, scalability, and latency
monitor, evaluate, and retrain models
work with large datasets and feature engineering
versioning, testing, and deployment of ML models
integrate ML solutions into existing systems
Nice-to-have
AI-native architectures
scalable machine learning and generative AI
transform fragmented data into high-value products
embed AI into real business workflows
Key Requirements
Proven experience as a Machine Learning Engineer
Strong programming skills in Python
Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Solid understanding of ML algorithms and statistics
Experience with data processing tools (Pandas, Spark)
Familiarity with MLOps practices and tools
Experience with cloud platforms (AWS, Azure, or GCP)