Descrição da vaga
<h1>CAPCO POLAND</h1>
<h2>DATA SCIENTIST / AI ENGINEER / MLOPS ENGINEER</h2>
<p><strong>AI INFUSED. THE FUTURE IS BUILT, NOT JUST IMAGINED.</strong></p>
<p><strong>Location: Kraków, Poland</strong></p>
<h3>WHY JOIN CAPCO?</h3>
<p>You’ll join an environment where <strong>AI meets real-world transformation</strong>.</p>
<p>At Capco, you can work with talented people across engineering, data, architecture, and financial services while solving challenging problems for leading organizations.</p>
<p>You’ll have the opportunity to <strong>experiment, build, scale, and influence how AI is applied in practice</strong> — whether your passion is creating intelligent models, engineering AI products, or building the platforms that make AI reliable at scale.</p>
<p>If you see yourself as a <strong>Data Scientist, AI Engineer, MLOps Engineer — or somewhere at the intersection of all three — we want to hear from you.</strong></p>
<h3>ABOUT US</h3>
<p>At <strong>Capco Poland</strong>, we’re not just another consultancy — we’re helping shape the future of financial services through technology, data, and AI.</p>
<p>As a global technology and management consultancy, we partner with leading organizations across <strong>banking, payments, capital markets, wealth, and asset management</strong>, helping them solve complex challenges and turn ambitious ideas into real-world solutions.</p>
<p>Our culture is <strong>fast-moving, flexible, collaborative, and entrepreneurial</strong>. We encourage people to challenge the status quo, experiment with new technologies, and take ownership of what they build.</p>
<p>As we continue to scale our AI capabilities, we’re looking for talented professionals across <strong>Data Science, AI Engineering, and MLOps</strong> who want to design, build, and operationalize the next generation of intelligent solutions.</p>
<p>You don’t need to fit neatly into one box. Whether your strengths lie in <strong>developing models, engineering AI applications, or building the platforms that bring AI into production</strong>, we’d like to hear from you.</p>
<h3>HOW YOU WILL MAKE MAGIC HAPPEN</h3>
<p>Depending on your experience and area of expertise, you will have the opportunity to:</p>
<ul>
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<p><strong>Design, develop, and productionize innovative AI and machine learning solutions</strong> addressing real business challenges.</p>
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<p>Explore and implement modern approaches across <strong>Machine Learning, Generative AI, Large Language Models (LLMs), and intelligent automation</strong>.</p>
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<p>Build robust AI applications and services using <strong>Python, APIs, microservices, and cloud-native technologies</strong>.</p>
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<p>Develop reusable <strong>AI/ML libraries, frameworks, components, and common assets</strong> that accelerate AI adoption at scale.</p>
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<p>Design and maintain <strong>ML and AI pipelines</strong>, supporting the full lifecycle from experimentation and training to deployment, monitoring, and continuous improvement.</p>
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<p>Build scalable, resilient, secure, and maintainable systems capable of supporting <strong>production-grade AI workloads</strong>.</p>
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<p>Apply modern <strong>MLOps, DevOps, and software engineering practices</strong> to AI solutions.</p>
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<p>Work with <strong>Docker, Kubernetes, cloud platforms, CI/CD pipelines, model registries, monitoring, and automation tooling</strong>.</p>
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<p>Collaborate with engineers, data scientists, architects, business stakeholders, and client teams to turn ideas and prototypes into reliable solutions.</p>
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<p>Help define and promote <strong>engineering standards, architectural principles, reusable patterns, and best practices</strong> for AI development.</p>
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<p>Stay close to emerging AI technologies and evaluate where they can create meaningful value for our clients.</p>
</li>
</ul>
<h3>WHAT MAKES YOU AWESOME</h3>
<p>We’re interested in different AI profiles, so we don’t expect every candidate to have experience in everything listed below.</p>
<p>We’re looking for people who bring a strong combination of skills across one or more of these areas:</p>
<p><strong>Data Science & Machine Learning</strong></p>
<ul>
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<p>Practical experience developing and evaluating <strong>machine learning, statistical, or AI models</strong>.</p>
</li>
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<p>Strong Python skills and experience with the modern data science and ML ecosystem.</p>
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<p>Understanding of model development, experimentation, feature engineering, validation, and performance evaluation.</p>
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<p>Experience taking ML solutions beyond experimentation and into real-world applications is highly valued.</p>
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</ul>
<p><strong>AI Engineering</strong></p>
<ul>
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<p>Strong <strong>Python and software engineering</strong> skills, including clean code, testing, design patterns, and architectural principles.</p>
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<p>Experience building AI-powered applications, services, or platforms.</p>
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<p>Knowledge of <strong>API design, microservices, distributed systems, or cloud-native application development</strong>.</p>
</li>
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<p>Hands-on exposure to <strong>Generative AI, LLMs, RAG, agents, or related AI architectures and frameworks</strong> is a strong advantage.</p>
</li>
</ul>
<p><strong>MLOps & AI Platforms</strong></p>
<ul>
<li>
<p>Experience building or operating <strong>ML/AI infrastructure and production pipelines</strong>.</p>
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<p>Practical knowledge of <strong>Docker and Kubernetes</strong>.</p>
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<p>Experience with CI/CD, automation, model deployment, monitoring, observability, or model lifecycle management.</p>
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<p>Understanding of scalable, reliable, and secure production environments for ML and AI workloads.</p>
</li>
</ul>
<h3>WHAT WE VALUE ACROSS ALL PROFILES</h3>
<ul>
<li>
<p>Around <strong>4+ years of professional experience</strong> in software engineering, data science, machine learning, MLOps, AI engineering, or a closely related area.</p>
</li>
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<p>A university degree in <strong>Computer Science, Mathematics, Physics, Engineering</strong>, or another relevant discipline — or equivalent practical experience.</p>
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<p>Strong problem-solving skills and an engineering mindset.</p>
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<p>Understanding of good <strong>software engineering and application design practices</strong>.</p>
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<p>Ability to work effectively in an <strong>Agile, collaborative environment</strong>.</p>
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<p>Curiosity and a strong desire to keep learning as AI technologies and engineering practices evolve.</p>
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<p>Ability to communicate technical ideas clearly and collaborate with both technical and non-technical stakeholders.</p>
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</ul>
<p>Experience within <strong>banking, financial services, or another highly regulated industry</strong> is particularly welcome.</p>
<h3>GREAT IF YOU ALSO HAVE</h3>
<p>Any of the following would be an advantage, but they are not required for every profile:</p>
<ul>
<li>
<p>Hands-on experience with frameworks and platforms such as <strong>LangChain, Haystack, Kubeflow</strong>, or comparable technologies.</p>
</li>
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<p>Experience designing <strong>LLM/RAG architectures</strong>, vector search, embeddings, AI agents, or GenAI applications.</p>
</li>
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<p>Experience with one or more major <strong>cloud platforms</strong> and cloud-native AI/ML services.</p>
</li>
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<p>Experience designing and developing <strong>microservices architectures</strong>.</p>
</li>
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<p>Familiarity with established <strong>MLOps frameworks and ML lifecycle best practices</strong>.</p>
</li>
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<p>Experience deploying and operating applications or ML workloads on <strong>Kubernetes</strong>.</p>
</li>
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<p>Knowledge of <strong>DevOps, Infrastructure as Code, CI/CD, observability, and production monitoring</strong>.</p>
</li>
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<p>Experience working with enterprise-scale data and AI environments.</p>
</li>
</ul>
<h3>ONLINE RECRUITMENT PROCESS*</h3>
<p><strong>Screening call with the Recruiter → Capco Hiring Manager Interview → Client Interview → Feedback / Offer</strong></p>
<p><em>The exact recruitment process may vary depending on the role and project.</em></p>