Top Artificial Intelligence Jobs in Poland

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

Lead the AI gameplay team, oversee AI design and implementation, mentor programmers, and collaborate across departments.

Lead the AI gameplay team at Techland, overseeing design, implementation, and debugging of AI mechanics while mentoring and recruiting team members.

The AI Solutions Architect will lead AI/ML consulting for clients, architect solutions, develop PoCs, and provide technical guidance while collaborating with internal teams.

The Lead AI Engineer will bridge data science and software engineering, deploying AI solutions, ensuring performance, and collaborating with teams.

Lead the design, development, and deployment of software solutions focusing on conversational AI. Collaborate with teams, mentor juniors, and enhance existing systems.

The Senior Technical Recruiter owns the recruitment of AI, ML, and backend roles, sourcing talents globally, and ensuring a world-class candidate experience.

The Project Manager oversees project completion, managing planning, communication, risk, budget, quality, and scope to achieve objectives.

Lead a team focused on training AI, ensuring project delivery and performance against KPIs while mentoring junior members and improving processes.

The Research Associate (Prompts) will focus on prompt writing and annotation to improve an AI engine, collaborating on various projects and generating quality prompts.

The Product Planner coordinates resources, ensures project documentation is maintained, supports the team in project roll-outs, and aids in the onboarding of new members.

Manage a team of 50, focusing on performance management, KPI tracking, process improvement, and team coordination across time zones, while ensuring successful project delivery.

The Technical Research Associate will work on AI data collection, conduct data analysis, create prompts, and improve AI performance through collaboration and feedback.

The Senior AI Automation Engineer will develop scalable automation systems, integrate developer tools, and enhance engineering productivity through AI-driven workflows and metrics delivery.

Seeking a Senior AI Engineer/Data Scientist to develop AI-driven solutions, requiring expertise in software engineering, machine learning, and cloud platforms.

Design and improve end-to-end ML/AI pipelines while building high-quality production code and addressing new use cases. Collaborate with client data and enhance LLM training.

As an AI Engineer, you will develop AI systems for credit-risk and collections, utilizing machine learning and LLMs to enhance operational capabilities.

The role involves developing and maintaining AI solutions using Java, analyzing user interactions, and integrating with client systems while ensuring scalable and efficient software design.

As an MLOps Engineer, you will architect and build scalable infrastructure for AI models, ensuring reliability and automation throughout the entire lifecycle of production AI systems.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.

The AI Engineer will integrate Generative AI models into web applications, develop front-end and back-end systems, and maintain cloud infrastructure while optimizing AI performance.

The AI/NLP/Data Engineer will develop ML and AI models, enhance NLP systems, and build supporting infrastructure while collaborating with teams on deployment and documentation.

As a Senior Embedded AI Engineer, you'll integrate Large Language Models into robotics, optimize AI models for embedded platforms, and work on simulations with real robots.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.