MLOps/AI Engineer/ Data Scientist

CAPCO POLAND DATA SCIENTIST / AI ENGINEER / MLOPS ENGINEER AI INFUSED. THE FUTURE IS BUILT, NOT JUST IMAGINED. Location: Kraków, Poland WHY JOIN CAPCO? You’ll join an environment where AI meets real-world transformation . At Capco, you can work with talented people across engineering, data, architecture, and financial services while solving challenging problems for leading organizations. You’ll have the opportunity to experiment, build, scale, and influence how AI is applied in practice — whether your passion is creating intelligent models, engineering AI products, or building the platforms that make AI reliable at scale. If you see yourself as a Data Scientist, AI Engineer, MLOps Engineer — or somewhere at the intersection of all three — we want to hear from you. ABOUT US At Capco Poland , we’re not just another consultancy — we’re helping shape the future of financial services through technology, data, and AI. As a global technology and management consultancy, we partner with leading organizations across banking, payments, capital markets, wealth, and asset management , helping them solve complex challenges and turn ambitious ideas into real-world solutions. Our culture is fast-moving, flexible, collaborative, and entrepreneurial . We encourage people to challenge the status quo, experiment with new technologies, and take ownership of what they build. As we continue to scale our AI capabilities, we’re looking for talented professionals across Data Science, AI Engineering, and MLOps who want to design, build, and operationalize the next generation of intelligent solutions. You don’t need to fit neatly into one box. Whether your strengths lie in developing models, engineering AI applications, or building the platforms that bring AI into production , we’d like to hear from you. HOW YOU WILL MAKE MAGIC HAPPEN Depending on your experience and area of expertise, you will have the opportunity to: Design, develop, and productionize innovative AI and machine learning solutions addressing real business challenges. Explore and implement modern approaches across Machine Learning, Generative AI, Large Language Models (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 that accelerate AI adoption at scale. Design and maintain ML and AI pipelines , supporting the full lifecycle from experimentation and training to deployment, monitoring, and continuous improvement. Build scalable, resilient, secure, and maintainable systems capable of supporting production-grade AI workloads . Apply modern MLOps, DevOps, and software engineering practices to AI solutions. Work with Docker, Kubernetes, cloud platforms, CI/CD pipelines, model registries, monitoring, and automation tooling . Collaborate with engineers, data scientists, architects, business…