Top Machine Learning Jobs in Poland
The Application Development Engineer will build and implement software tools and machine learning models, collaborating with developers on software lifecycle tasks. Main responsibilities include collecting and processing data, designing machine learning systems, conducting statistical analyses, deploying and troubleshooting systems, and visualizing data findings for stakeholders.
In this role, you will join the Logistics Development Team to develop logistics data models, contribute to Logistics Excellence Projects, and enhance forecasting capabilities. You will analyze complex data, build performance boards and KPIs, and support the team with data-related tasks while collaborating with Supply Chain teams.
Lead and oversee large-scale machine learning projects from inception to production, focusing on scalability, performance, and reliability. Mentor and guide ML engineers while making key architectural decisions. Drive collaboration across teams to ensure product success and set technical standards for high-performance applications.
The Product Manager - Data&AI will focus on product discovery and delivery of data products to solve business problems. Responsibilities include collaborating with stakeholders, managing product backlogs using Agile methodologies, and driving product development with engineers and data scientists. The role requires strong communication and problem-solving skills, with a background in Data ecosystems and AI applications being advantageous.
As a Product Manager for Data&AI, you will discover and manage data-related products, working with stakeholders to deliver solutions that meet business needs, guiding a team of engineers and data scientists to develop and implement strategies in the Data&AI domain.
As a Product Manager focused on ML and AI, you will lead product discovery and roadmap development, collaborating with business stakeholders to implement AI solutions that enhance business performance. Your role includes managing product backlogs, prioritizing tasks, and ensuring alignment across teams to deliver valuable AI products.
As a Product Manager, you will lead a team to ensure high-quality translations, manage KPIs, analyze client needs, oversee resource allocation, and improve translation processes while owning new integrations and features.
Looking for an experienced Manager to coordinate a team with various data roles (Data Analyst/Product Analyst/Data Scientist) shaping Ads products at Allegro. Responsibilities include cooperation in the implementation of the Technology/Product strategy and creation of analytical road-maps.
As a Manager, you will coordinate a team of data professionals involved in shaping Ads products. Responsibilities include implementing technology strategy, creating analytical road-maps, and collaborating with stakeholders to derive insights and solutions.
As a Senior ML Engineer, you will design, develop, and deploy advanced machine learning systems, integrate them within product stacks, and ensure scalability and operational efficiency, working with various ML frameworks and technologies.
As a Senior Product Manager, you will drive the strategy and execution of Document AI at Snowflake. Responsibilities include defining the product roadmap, collaborating with engineers and data scientists, conducting market research, and guiding product development from conception to launch, all while ensuring alignment with customer needs and the company's strategic goals.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
As an Expert ML Data Engineer, you will collect and manage datasets for ML model training, coordinate data collection, build dashboards for data monitoring, use machine learning methods, and develop high-quality software in Python within an Agile team.
The Solutions Engineer will lead technical sales processes, design customer solutions using Cloudera technologies, and build relationships to ensure client success. Responsibilities include conducting demonstrations, collaborating with account managers, and advocating for customer needs to product management.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
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