Top Machine Learning Jobs in Poland

The Solution Architect for Digital Transformation will design and implement technology solutions for banking transformation, collaborating with stakeholders to align architectures with strategic and regulatory goals. Responsibilities include high-level design reviews, architecture recommendations, and ensuring solutions meet industry standards while driving adoption of modern practices like DevOps and microservices.

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.

Seeking a highly experienced Business Lead to develop and execute a strategic vision for leveraging Customer Data to enhance user engagement, advertising monetization, and user valuation. Responsibilities include strategic planning, business context mastery, data governance, data strategy, and execution.

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 Machine Learning Engineer will develop AI/ML solutions, perform feature engineering, collaborate on architecture, and implement machine learning algorithms. Responsibilities include optimizing models, ensuring data quality, and exploring practical applications of Generative AI. The engineer must communicate technical concepts effectively and continuously adapt to new AI technologies.

As a Machine Learning Engineer, you will collaborate with data scientists to design and deploy machine learning models aimed at optimizing supply chain operations. Responsibilities include developing models for demand forecasting and inventory optimization, improving existing models, designing data pipelines, and integrating models into systems. You will also conduct data analysis, monitor model performance, and stay updated on advancements in machine learning.

The Data Scientist will focus on AI and machine learning to automate business processes, integrate data, and enhance customer experiences. Responsibilities include developing and deploying machine learning models, analyzing workflows for optimization, and collaborating with cross-functional teams on AI solutions.

As a Software Engineer, you will design, develop, and maintain data acquisition infrastructure, integrate machine learning models, and optimize processing pipelines for computer vision applications in basketball tracking. You'll work with a diverse AI team to enhance how users interact with sports through innovative software solutions.