Top Artificial Intelligence Jobs in Czechia

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Evaluate Czech-language online ads for quality, relevance, and placement. Provide feedback, perform keyword research, identify trends, and collaborate to improve ad targeting and user experience. Complete required training, sign an NDA, and pass a quality assessment before starting.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

Provide deep technical sales support for Red Hat AI across EMEA: design and architect AI/ML systems, run technical workshops and POCs, remove adoption blockers, collaborate with sales, engineering, partners, and advocate product feedback and customer enablement.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

As a Product Owner, you manage the product backlog, collaborate with cross-functional teams, and engage with customers to define and prioritize product requirements for Data, Analytics, and AI initiatives.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Manage AI-powered customer engagement throughout the customer lifecycle by developing analytics tools, optimizing customer metrics, and leading cross-functional collaboration.

Perform remote, part-time data tasks to improve AI in Czech: collect, evaluate, and annotate multimodal content (audio, video, images, text); conduct pairwise comparisons, counting, object tagging, and quality checks. Flexible freelance work ideal for students or those seeking extra income.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Lead the vision and strategy for Aisle's website, managing the product backlog, front-end architecture, and optimization while collaborating across teams to deliver effective web solutions.

The Senior AI Developer will refactor a prototype into a multi-agent system, design orchestration and communication logic, implement guardrails, integrate APIs, and optimize performance while collaborating with teams for robust design.

The role involves developing full-stack applications, creating examples for users, and experimenting with AI projects, requiring creativity and independence.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.