Top Machine Learning Jobs in Warsaw

As a Senior Software Engineer at Accuris, you will enhance and maintain advanced information retrieval solutions, focusing on scalable processing pipelines and deploying machine learning models. Responsibilities include leading design implementation in a microservice-based architecture and collaborating with cross-functional teams for high-quality product delivery.

The Manager of Software Engineering will lead and mentor an engineering team focused on developing a robust merchant approval and risk monitoring platform. Responsibilities include system reliability, performance management, and collaboration with product managers and other engineering teams to enhance merchant risk processes.

As an ML Ops Engineer, you'll develop, deploy, and maintain the infrastructure for Machine Learning to support Data Science and Machine Learning Teams, focusing on automating modeling processes and managing the full ML lifecycle.

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.

The Senior/Lead Data Science Engineer will design and implement ML solutions, collaborate with stakeholders to understand requirements, and develop models for batch and real-time operations. Responsibilities include leveraging Generative AI, analyzing data, and continuously improving models based on new data and business needs.

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.

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.

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.