Top Artificial Intelligence Jobs in Krakow

The Lead AI & Data Engineer will develop and enhance data engineering and analytics capabilities, focusing on scalable data ingestion, transformation, and integration with GenAI tools, while ensuring data quality and collaborating with cross-functional teams.

The Agentic AI Data Scientist will drive learning and optimization of AI systems, focusing on signal extraction, training data generation, and evaluation metrics, while collaborating with teams to improve logistics outcomes.

The Senior Backend Software Engineer will design and implement backend systems and APIs for AI-driven logistics, ensuring performance and reliability.

The Agentic AI Domain Architect designs AI-powered workflows, governing agent interfaces across systems, translating customer workflows into agent skills, and driving data-centric improvements.

The Senior Software Test Engineer will design and build automated testing frameworks for AI systems, focusing on logistics, reliability validation, and scenario simulations for complex, non-deterministic systems.

Lead and develop an engineering team to enhance HERE's Agentic AI framework, ensuring high quality and accountability in software solutions.

Manage a team of data scientists to build ML systems for logistics, overseeing the entire lifecycle, mentoring, and collaborating with technical teams.

Lead development of AI-powered capabilities, bridging technology, product strategy and market commercialization, while managing product portfolios and cross-functional teams.

The Lead Agentic AI Engineer role involves optimizing AI models for real-world applications, requiring expertise in model design, performance tuning, and hands-on experimentation.

Assist customers with claims and queries via various channels, utilizing legal knowledge and following procedures in a shift-based environment.

Assist air passengers with their claims through timely communication across various channels. Provide legal advice with training support and follow operational procedures.

Assist air passengers with claims by communicating through email, chat, and social media, and utilizing legal knowledge for guidance.

Assist customers with claims related to delayed or cancelled flights, providing support through various communication channels and utilizing legal knowledge to offer assistance.

As a Senior AI Engineer, you will lead AI-native practices in software development, architect scalable systems, and enhance engineering workflows to accelerate product delivery while ensuring reliability and compliance.

The role involves designing scalable data pipelines and architectures, integrating multiple data sources, and ensuring data quality and governance within the CMDB and Asset Intelligence platform.

The role involves managing risks related to AI systems, coordinating with various functions for compliance, and preparing assessments. Ideal candidates should have a background in IT governance and project management within regulated environments.

Lead a team in developing cloud-native applications and driving AI integration. Oversee software development, manage budgets, and stay updated on technology trends.

Lead engineering activities for productizing Deep Learning models, mentoring team members, collaborating across units, and optimizing DL workloads.

Lead the AI initiatives for Hitachi Energy, turning business strategies into AI opportunities, driving data-driven insights, and leading cross-functional teams to implement effective AI solutions.

The Principal AI/ML Engineer will lead the architecture and development of HERE's Agentic AI Framework, focusing on delivering scalable agent-based systems, mentoring engineers, and influencing multiple teams.

The Senior Backend Engineer will develop and enhance banking solutions, own the software lifecycle, and collaborate across teams to implement best practices.

The Senior AI Engineer will design, develop, and deploy AI-driven solutions, focusing on agent orchestration, advanced retrieval, system architecture, and mentoring junior engineers in a regulated financial environment.

The Data Science Lead will lead a team of data scientists in developing ML systems for logistics, overseeing the entire lifecycle from research to production.

The role involves designing and scaling MLOps infrastructure on AWS for autonomous driving systems, requiring expertise in machine learning and cloud architecture.

In this role, the Senior AI Engineer will design and develop scalable AI solutions, focusing on infrastructure, agent orchestration, and evaluation frameworks in a banking context, as well as mentoring junior engineers.