Top Artificial Intelligence Jobs in Poland

Lead AI engineering team, mentor members, define AI strategy, oversee ML platform operations, partner with various departments, and ensure efficient production readiness of models.

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

The AI Engineer will design, develop, and deploy AI solutions, establish MLOps practices, collaborate with teams, and ensure responsible AI practices.

Lead AI-driven consulting engagements, develop AI strategies, manage multidisciplinary teams, mentor junior colleagues, publish thought leadership, and build external network.

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

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

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

The Technology Project Manager will lead and manage technology projects, overseeing full project lifecycles, stakeholder engagement, budget management, and project governance to ensure successful delivery and user adoption.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The IT Specialist will deploy and support IT solutions for radiology, providing technical support, software upgrades, and documentation, while engaging with healthcare professionals.

The role involves driving SAP Data & AI architecture initiatives, collaborating on solution design, and supporting transformations for SAP clients across Europe.

Lead a team of AI engineers to drive innovations in healthcare technology, focusing on NLP and ML methodologies, while contributing hands-on to development.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

The AI & Data Solutions Manager drives data and AI strategy to enhance decision-making, collaborating across teams to deliver actionable insights and improve customer engagement.

As an AI Solution Architect, design and deliver AI solutions using Microsoft Azure, collaborate with stakeholders, and lead technical teams across projects.

Architect and build AI-driven products, lead feature design, communicate technical concepts, and mentor other engineers while contributing to AI technical vision.

Chatdesk Experts provide support for e-commerce brands through social media and email, working remotely and setting their own schedules.

Lead a team to develop large-scale AI systems, focusing on Generative AI and LLM initiatives, while managing projects from inception to delivery.

The AI Research Engineer will develop AI-powered backend services using Python and NodeJS, integrating LLMs and designing workflows for promoting customer loyalty campaigns.

Lead the adoption of GenAI tools within engineering teams by experimenting, sharing knowledge, conducting workshops, and measuring impact. Collaborate across specializations to improve workflows and engineer experiences.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

Lead and collaborate with the Process & AI team to optimize revenue processes using Google AI, design end-to-end GTM processes, and train teams on AI tools.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Senior Product Manager will lead the strategy and execution of AI systems, manage product profitability, and drive product lifecycle from planning to implementation.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.