Top Artificial Intelligence Jobs in Poland

As an AI Engineer, you will develop AI systems for credit-risk and collections, utilizing machine learning and LLMs to enhance operational capabilities.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.

The AI/NLP/Data Engineer will develop ML and AI models, enhance NLP systems, and build supporting infrastructure while collaborating with teams on deployment and documentation.

As a Senior Embedded AI Engineer, you'll integrate Large Language Models into robotics, optimize AI models for embedded platforms, and work on simulations with real robots.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

The Senior Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

Develop and deploy scalable AI systems, optimize multi-model support, and collaborate with cross-functional teams to enhance AI product offerings.

Develop and implement AI algorithms to solve complex business problems. Collaborate with teams, analyze data, and validate AI models.

The Lead AI Solution Architect will identify, prototype, and implement AI solutions for retail and manufacturing, bridging technical and business aspects while educating the team.

The Staff ML Scientist at Visa will develop AI products using machine learning techniques, collaborate with teams, and innovate using financial payment data.

The ML Engineer will build and refine ML models, manage experimentation environments, collaborate with teams, and ensure model performance in production.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Research and develop methods for large language models, build infrastructure for AI training and evaluation, and collaborate cross-functionally.

Oversee ML team and projects focused on LLMs; design and optimize models on AWS, ensure performance and compliance, facilitate team growth.

The AI Engineer will develop AI solutions, architect systems, and collaborate with teams to enhance productivity while exploring AI tools.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

As an Associate AI Engineer, you will build LLM applications, collaborate with other engineers, and engage in the full development cycle from ideation to testing.

The AI Engineer will implement AI features, fine-tune models, and research to drive product innovation in a startup environment.

The AI Engineer will design and deploy LLM applications, integrate AI APIs, ensure responsible AI practices, and collaborate with cross-functional teams.