Top Machine Learning Jobs in Prague

In this role, you will build ML models for AI photo editing, manage project timelines, evaluate new AI techniques, improve existing features, optimize code, and collaborate with teams for data collection and model evaluation.

The AI Product Manager at MacPaw will drive the vision and strategy for a new AI-powered product, ensuring alignment with market needs and company objectives. Responsibilities include managing product development, leading market research, overseeing budget, and facilitating cross-department collaboration.

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing machine learning models and managing the full lifecycle of ML projects. Responsibilities include developing benchmarks, improving translation quality, and automating systems while leveraging advanced technologies and cloud infrastructure.

The Enterprise Architect will design and implement Azure-based data solutions to support AI and machine learning initiatives, collaborate with cross-functional teams to integrate data pipelines, and develop data architecture frameworks while providing technical leadership and staying current with industry trends.

The Associate Director will lead the design and development of Global Supply Chain Analytics applications, manage application support, drive process improvements, and lead digital initiatives. Responsibilities include collaborating across departments, ensuring analytics solutions align with business processes, and evaluating new investments.

Lead the design and development of Global Supply Chain Analytics applications. Manage development teams and ensure delivery of data-driven solutions, collaborating with stakeholders and adhering to best practices. Participate in workshops, develop code, enhance data quality, and support AI/ML initiatives.

The Associate Director of Data Science will lead data-driven insights to enhance employee engagement, optimize talent acquisition, and refine workforce planning. Responsibilities include developing predictive models, utilizing machine learning algorithms, conducting statistical evaluations, collaborating on strategy design, and creating data visualizations. The role also involves exploring new data sources, ensuring compliance, and mentoring junior team members.

As a Refining and Petrochemical Process Optimization Engineer, you will apply machine learning and process engineering to optimize industrial processes. Responsibilities include collaborating with clients, evaluating machine learning models, developing product usage insights, and training clients on technology usage, all while traveling throughout Europe.