Top Artificial Intelligence Jobs in Krakow

SwissBorg seeks exceptional talent in various fields like fintech, blockchain, and AI. The company encourages profiles even without current openings, aiming to match unique skills with future opportunities to foster innovation and growth in finance management.

As a Supply Chain AI/ML Engineer, you will develop and deploy machine learning models to optimize supply chain operations, enhance forecasting accuracy, improve inventory management, and streamline logistics. Collaborating with data scientists and analysts, you'll design solutions, conduct data analysis, and integrate models into existing systems, focusing on accuracy and reliability while staying current with industry advancements.

The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.

As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.

The Lead Solution Architect specializes in Data and AI, responsible for designing and implementing data platforms and AI-driven solutions. Collaborates with cross-functional teams on architectures that address complex challenges and ensures scalability and robustness. Provides technical leadership and mentors teams in best practices and efficient solutions.

The AI Product Engineer at BBH will collaborate with business stakeholders to prototype and validate AI-powered products, utilizing ML and LLMs. Key responsibilities include iterating product concepts, building an AI center of excellence, and presenting findings to senior leaders. The role requires strong coding skills and knowledge of AI pipelines, with an emphasis on communication and understanding the product development lifecycle.

The Lead AI Engineer will guide a team in exploring and implementing Generative AI technologies and Cloud solutions, particularly using Google Cloud Platform and Vertex AI. Responsibilities include technical leadership, code maintenance, and the development lifecycle of scalable cloud-based solutions. The role also emphasizes continuous learning and applying innovative approaches to meet business needs.

The Product Marketing Manager will develop global marketing strategies and go-to-market plans for Canonical's Machine Learning and Data Operations applications. Responsibilities include content dissemination, campaign planning, and product positioning, as well as collaboration with various teams to enhance marketing efforts and customer engagement.