Top Machine Learning Jobs in Prague

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

Design and develop AI models for Search and Recommendation, process data, conduct research on ML techniques, and collaborate with data teams to enhance models for production use.

The role involves building ML analytics pipelines, leading LLM evaluations, collaborating on data engineering, creating dashboards, and defining operational guidelines.

The ML Engineer will build and refine ML models, manage experimentation environments, collaborate with teams, and ensure model performance in production.

The AI/ML Tech Lead will manage a team of engineers, overseeing the development of LLMs and machine learning solutions using AWS services, while ensuring best practices in AI implementations and team development.

As a Middle/Senior ML Engineer, you'll develop ML models, maintain production systems, collaborate on improvements, and document processes while leveraging cloud and ML technologies.

Lead the development of machine learning infrastructure for cybersecurity, driving production ML systems from experimentation to deployment, while mentoring junior engineers.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The role involves owning the full ML lifecycle, applying classical ML thinking, monitoring models, collaborating with teams, and ensuring business outcomes.

The Senior Machine Learning Scientist will own the full ML lifecycle, develop production-grade ML algorithms, and collaborate closely with cross-functional teams to drive business outcomes.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Design and deploy LLM applications for payroll, lead architecture decisions, and collaborate with teams. Requires AI/ML experience.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The ML Research Engineer will develop and deploy computer vision algorithms, mentor junior engineers, and collaborate across teams to enhance item authentication solutions.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.