Top Artificial Intelligence Jobs in Poland

Lead AI-driven consulting engagements for financial services, develop strategies, mentor junior colleagues, and drive innovative AI solutions for clients.

As an AI Engineering Lead, you will drive AI operational strategies, manage teams, and ensure the integration of AI technologies into processes.

As an AI Operations Engineer, you will design and maintain AI pipelines, ensure deployment of AI models, and mentor junior engineers.

As a Senior AI Operations Engineer, you will design, implement, and optimize AI pipelines, ensuring smooth model deployment and team mentorship.

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.

Manage regulatory activities for clinical trial submissions, ensuring compliance with global health authority standards. Collaborate with stakeholders to prepare submission documents, track progress, and communicate regulatory changes.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

As an AI Product Engineer, you'll manage and improve internal tooling and workflows, collaborate with teams on client increments, and ensure efficient adoption of new AI capabilities.

Manage end-to-end regulatory activities for submissions, ensuring compliance with global health authorities, and drive continuous improvement in processes.

The position involves managing regulatory submissions, collaborating on eCTD strategies, ensuring timely progress on submissions, and continuous improvement of submission processes.

The Manager, Submission Management Clinical Trials oversees regulatory activities for clinical trial submissions, collaborating with stakeholders to ensure compliance and drive continuous improvement initiatives.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.

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

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Data Engineer will design and maintain data pipelines and architectures, ensuring reliable data for decision-making through collaboration with data analysts and scientists.

The Machine Learning Engineer will design, build, and deploy scalable ML solutions, collaborating with teams to operationalize models and ensure their performance and reliability.

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

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

Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead development of compliance risk metrics and AI-driven analytics to monitor field activities, communications, and payments. Translate monitoring needs into actionable insights, deliver leadership reporting, manage global projects, and collaborate with Compliance and IT to improve compliance monitoring and data-driven decision making.

Lead a team developing AI solutions for logistics, focusing on managing engineers, driving technical decisions, and improving delivery systems.

Drive technical excellence as a Lead Engineer in AI logistics, guiding architecture and mentoring a team while actively coding and collaborating with stakeholders.

The role involves providing solutions consulting, driving business development, and supporting proposal development. Candidates must leverage Honeywell's product offerings, engage with customers, and analyze market trends while fostering strong relationships.