Top Artificial Intelligence Jobs in Krakow

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

The Strategy Manager leads strategy implementation across multiple product portfolios, manages delivery of numerous projects, and builds AI-enhanced KPI dashboards to drive results.

The No-Code Systems Automation Engineer will design, build, and maintain automation workflows using GoHighLevel and either Zapier or n8n, ensuring reliability and performance through error handling and monitoring practices.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The 2D / AI Artist will create 2D illustrations and textures for 3D objects, collaborate with the lead artist, and optimize workflows using AI tools.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Total Rewards Analyst provides analytical support for compensation and benefits data, leveraging AI insights to inform strategic HR decisions and improve workforce rewards using various reporting tools.

The role entails advancing AI projects, optimizing workflows with LLMs and generative AI, and collaborating with teams to meet business needs.

The role involves building innovative AI products, managing product roadmaps, gathering user feedback, and communicating product value. It demands hands-on skills and collaboration with engineering and design teams.

Design, deploy, and operate production-grade ML/GenAI systems for credit risk and collections optimization. Engage in end-to-end processes from data engineering to model deployment and monitoring, focusing on reliability and business value.

The Tech Lead will guide engineering teams, define technical strategies, oversee delivery lifecycle, and enhance AI software solutions for document processing in financial services.

This role involves data management strategy implementation for enterprise risk measurement and monitoring, managing AI systems risks, and developing analytics quality initiatives.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

Lead and manage high-performing teams developing ML/AI platforms, focusing on LLM infrastructure and collaboration across departments.

As a Founding AI Engineer, you'll shape AI applications by designing model architectures, building training pipelines, and optimizing deployment systems for cutting-edge AI products.

As a Founding AI/ML Research Engineer, you'll shape AI models, build training pipelines, and design scalable systems for a consumer AI application. This role emphasizes ownership and technical influence on product and architecture.

The Solutions Architect will design and implement Data & AI solutions, focusing on architecture strategy, collaboration with teams, and governance practices to enhance scalability and security.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

Develop generative and machine-learning products for the eDiscovery industry, collaborating across teams to build models and features.