Top Artificial Intelligence Jobs in Poland

Welo Data seeks individuals fluent in Ukrainian for remote roles in annotation, evaluation, and data collection to enhance AI models.

Join Welo Data to work on language data projects, focusing on annotation, evaluation, and prompt creation. Ideal for those fluent in Polish, offering flexible remote opportunities.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

Lead AI transformation projects, manage client relationships, and ensure high-quality deliverables across multiple workstreams in a consulting environment.

The AI Engineer will fine-tune LLMs, design RAG workflows, develop machine learning solutions, and manage model validation while collaborating with cross-functional teams.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

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

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

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

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

The Analyst will provide insights to CFO clients on finance technology strategies, cloud ERP transformations, and vendor evaluations. They will publish research, advise clients, and deliver high-quality presentations, requiring extensive experience in finance and technology.

Join the math libraries team focusing on high-performance numerical software for AI and HPC. Collaborate with engineers and manage technical roadmaps while optimizing algorithms for GPU performance.

The AI Technology Lead will drive AI adoption, manage integration of AI technologies, facilitate an AI Tech Community, and align AI strategies with business needs.

The Senior Software Engineer will optimize LLM management in Kubernetes, enhance performance, and build software for cost efficiency across cloud platforms.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

Design and implement AI conversational systems, collaborate with teams, optimize performance, and deploy Conversational AI models with a strong focus on real-time processing.

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

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

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

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 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.