AI-Powered Data Scientist & MLOps Engineer

Capco; Kraków; On-site; PLN 150,000 - 230,000; Full time

Job summary

Capco Poland is seeking a Data Scientist / AI Engineer / MLOps Engineer to help design, build, and operationalize AI solutions for financial services. You will work across data science, ai engineering, and production platforms, collaborating with engineers, architects, and client teams.

The role emphasizes developing production-grade models and scalable AI platforms, with strong Python and cloud-native capabilities.

Qualifications

• 4+ years of professional experience in software engineering, data science, ML, MLOps, AI engineering, or related area.
• University degree in Computer Science, Mathematics, Physics, Engineering or equivalent practical experience.

Responsibilities

• Design, develop, and productionize innovative AI/ML solutions addressing real business challenges.
• Explore and implement modern approaches across ML, Generative AI, LLMs, and intelligent automation.
• Build robust AI applications and services using Python, APIs, microservices, and cloud-native technologies.
• Develop reusable AI/ML libraries, frameworks, components, and common assets to accelerate AI adoption at scale.
• Design and maintain ML/AI pipelines from experimentation to deployment, monitoring, and improvement.
• Build scalable, secure production environments for ML/AI workloads and production-grade AI systems.
• Apply MLOps, DevOps, and software engineering practices to AI solutions.
• Work with Docker, Kubernetes, cloud platforms, CI/CD pipelines, model registries, monitoring, and automation tooling.

Skills

Python

ML/AI

Software engineering

APIs

Cloud platforms

MLOps

Education

University degree in CS/Math/Physics/Engineering

Tools

Docker

Kubernetes

CI/CD

Job description

Capco Poland is seeking a Data Scientist / AI Engineer / MLOps Engineer to help design, build, and operationalize AI solutions for financial services. You will work across data science, ai engineering, and production platforms, collaborating with engineers, architects, and client teams.

The role emphasizes developing production-grade models and scalable AI platforms, with strong Python and cloud-native capabilities.