Top Artificial Intelligence Jobs in Warsaw

Lead data science projects by collaborating with teams to deliver insights, managing project scopes, overseeing data management, and mentoring junior staff.

Develop generative and machine-learning products for the eDiscovery industry, collaborating across teams to build models and features.

The Engineering Manager will lead the AI team, manage engineers, drive projects, enhance productivity, and translate business strategies into actionable solutions.

The role involves architecting and building high-performance Golang microservices, enhancing ML infrastructure, and developing scalable data solutions. A focus on cloud-native architecture and strong technical leadership is essential.

As a DevOps Engineer, you'll design and maintain cloud infrastructure, manage Kubernetes and Elasticsearch clusters, and write automation code, while collaborating to improve system performance and reliability.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Senior Software Engineer will design and implement AI and MCP tools, enhance cloud-native applications, and mentor junior engineers in a collaborative environment.

The Senior AI Product Manager will define product vision, lead cross-functional teams, manage product lifecycle, and ensure market delivery, focusing on AI solutions in the B2B SaaS sector.

Integrate AI models into web applications, develop front-end and back-end systems, and manage deployments using cloud infrastructure and CI/CD pipelines.

The AI Data Specialist role involves data collection, evaluation, annotation, and tagging across various content types, focusing on Polish language expertise.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

The AI Product Manager will lead cross-functional teams in defining product strategies, managing releases, and ensuring customer satisfaction in a B2B SaaS environment.

Lead multidisciplinary teams in developing traditional and AI-enabled search functions, fostering high performance, overseeing Agile practices, and driving strategic vision for infrastructure solutions.

Design and implement AI gameplay mechanics, optimize performance, mentor programmers, and collaborate with animators and game designers.

As a Middle Infrastructure Engineer, you will deploy, scale, and maintain services for the ML/AI team, collaborating on infrastructure architecture decisions.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

The Solutions Engineer - AI Enablement develops and implements AI/ML capabilities, enhances toolsets, manages projects, and collaborates across teams in the financial industry.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Lead the development of AI-powered systems at Improvado, focusing on product vision, technical architecture, and mentoring a team of AI engineers.

The Staff AI Engineer will define technical vision for ML operations, lead teams, design architectures, manage programs, establish standards, and mentor engineers.

Develop generative AI products, collaborate with teams, build machine-learning models and algorithms, and contribute to the model deployment lifecycle.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

As an AI Game Developer, you'll implement AI mechanics, assist in navigation, create test cases, and optimize game code for a AAA project.

The AI Tech Strategy Manager will lead strategic execution across departments, ensuring alignment, monitoring outcomes, and utilizing AI for improved decision-making and reporting.

The Principal ML & AI Scientist will lead the development of AI and machine learning models to address business challenges, focusing on innovations in financial payments, while collaborating with cross-functional teams and automating predictive pipelines.