Top Artificial Intelligence Jobs in Poland

The Technical Research Associate will work on AI data collection, conduct data analysis, create prompts, and improve AI performance through collaboration and feedback.

The Senior AI Automation Engineer will develop scalable automation systems, integrate developer tools, and enhance engineering productivity through AI-driven workflows and metrics delivery.

Seeking a Senior AI Engineer/Data Scientist to develop AI-driven solutions, requiring expertise in software engineering, machine learning, and cloud platforms.

Design and improve end-to-end ML/AI pipelines while building high-quality production code and addressing new use cases. Collaborate with client data and enhance LLM training.

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

The role involves developing and maintaining AI solutions using Java, analyzing user interactions, and integrating with client systems while ensuring scalable and efficient software design.

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 Engineer will integrate Generative AI models into web applications, develop front-end and back-end systems, and maintain cloud infrastructure while optimizing AI performance.

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.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.

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 Senior Automation and AI Manager will drive the efficiency of Airalo Support by leveraging AI and automation tools to enhance customer support operations, focusing on automating workflows and improving chatbot performance.

Oversee and enhance AI model dialogues, ensuring quality and clarity, collaborating with ML teams, and recommending improvements based on user interactions.

As a Senior Software AI Engineer, you will implement AI-driven solutions, integrating various technologies, and working on production environments for automation and data integration tasks while ensuring security and compliance.

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.

Looking for a Program Manager to lead the Process & AI team, focusing on enhancing operational efficiency and revenue growth through AI-driven automation and process optimization.

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.