Top Artificial Intelligence Jobs in Krakow

The role involves designing large-scale data processing pipelines, developing cloud applications, improving distributed technologies, and leading projects in an agile environment.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Develops and programs integrated software algorithms to analyze data, improve product performance, and apply machine learning in various environments using programming languages and technologies.

As a Supply Chain AI Engineer, you will design and deploy AI/ML models to optimize supply chain operations, improve data quality, and leverage Generative AI techniques, while collaborating with cross-functional teams.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

QA / AI QA Tester responsible for designing test suites and evaluation datasets for LLM/agent systems, performing response quality, PII/compliance, guardrail, performance, integration and UX testing, analyzing telemetry, documenting results, and supporting AI/domain teams on defects and data drift.

Lead design and evolution of AI agent architecture (Master Agent + domain agents) across Copilot Studio, Azure and multicloud. Define integrations, knowledge layers, conversational UX, LLMOps, security, performance, and quality metrics. Collaborate with DevOps, Security, AI/ML engineers and domain owners to implement standards, compliance, monitoring, and continuous improvement for enterprise knowledge management.

Lead AI initiatives, leveraging existing models, conducting data modeling, collaborating with teams, and ensuring timely project completion.

Design and enhance the user experience for an LLM-based productivity tool, collaborating with cross-functional teams and utilizing user feedback.

The role involves analyzing data for AI insights, developing reports, identifying trends for strategic decisions, and collaborating with AI engineers to enhance AI applications in finance.

SwissBorg seeks visionary thinkers and creative mavericks in fintech, blockchain, AI, and more. Share your profile to explore opportunities.

As an AI Consultant, you will advise banking clients on AI/ML solutions, support model design, ensure compliance, and assess data quality.

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

Develop and deliver innovative forecasting algorithms for GE HealthCare using ML and AI techniques. Collaborate across departments to drive actionable insights and decision-making.

Develop and deliver AI applications by integrating ML and generative models, collaborate on requirements, deploy and optimize AI solutions, and mentor junior engineers.

Lead moderate-to-high complexity digital transformation projects with AI integration: plan, execute, manage scope/schedule/budget/risks, coordinate remote teams, run PoCs for AI tools, ensure quality, mentor staff, and support pre-sales and client relationships.

Lead the development of GenAI infrastructure, build ML platforms, contribute to LLM testing and deployment, and collaborate across teams to improve AI-driven experiences.

Lead design, implementation, and optimisation of global workforce management and AI-native WFM platforms. Drive forecasting, scheduling, real-time management, stakeholder reporting, continuous improvement, and adoption of AI-driven workforce capabilities.

The Senior DevOps Engineer will design, implement, and manage automation for Azure cloud services, collaborate with teams, and ensure IT security measures. Responsibilities include trouble-shooting technical issues and optimizing deployment pipelines.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Help train large-language models to write production-grade code by ranking, repairing, and providing feedback on AI-generated code snippets, with a focus on logical correctness and performance.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.