Top Machine Learning Jobs in Czechia

The analyst will develop and improve econometric and machine learning models, analyze datasets, and create actionable insights for strategic decisions.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

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

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

The role involves designing, developing, and improving software solutions using various technologies, collaborating with teams, and adhering to secure coding practices.

The role involves designing, developing, and improving software solutions, ensuring adherence to best practices while collaborating with cross-functional teams to align technology with business goals.

The Senior Marketing Analyst will analyze marketing data using Salesforce and other tools to derive insights, build reports, experiment with AI, and collaborate across teams to optimize marketing strategies.

Lead quality assurance efforts for multilingual datasets, ensuring accuracy and cultural relevance while managing QA processes and collaborating with diverse teams.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

The AI Legal Specialist will guide clients in using AI solutions, provide product expertise, and gather user feedback for improvements.

The Power Market Analyst will analyze energy market trends, conduct quantitative analysis, and provide strategic insights for trading decisions across various commodities.

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

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Head of Data Product will oversee the development of data products, defining strategy, leading cross-functional teams, ensuring quality, and establishing metrics for success.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The role involves developing machine learning and AI solutions, collaborating across functions, and operationalising ML products in a SaaS environment.

As an AI/ML Engineer, you'll design scalable AI solutions, collaborate with teams, and manage deployment in production environments.