Top Machine Learning Jobs in Poland

The Senior Data Scientist develops machine learning models, sampling plans, and metrics for Map Quality, collaborating with various stakeholders, and ensuring quality testing processes are in place.

Conduct internal projects in AI, software engineering, and telecommunications, focusing on system-level design and automation, collaborating with experienced architects.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Lead the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.

The Quality Engineer will drive the adoption of AI-powered testing tools, establish self-service quality standards, and improve end-to-end test coverage while coaching teams to own their quality processes.

As a RAN Technical Support Intern, you'll support mobile network solutions, troubleshoot RAN systems, and implement AI/ML solutions while learning from experienced professionals.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Develop and specify radio network system features for 5G RAN, perform system studies (RRM, scheduling, link adaptation), build network-level simulators, verify and analyze 5G system tests, support product deployment and customer troubleshooting, and contribute to standards and innovation.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

As a Senior Machine Learning Engineer, you will develop and optimize AI models, conduct experiments, and collaborate with teams on advanced AI hardware projects.

Design and deploy production-grade systems integrating machine learning models into scalable software pipelines, while focusing on maintainability, performance, and collaboration with teams.

The Senior Analyst is responsible for designing scalable analytics and AI solutions for procurement and warehouse management, leveraging advanced analytics and machine learning, while collaborating with various stakeholders.

The Lead Insights Analyst oversees a global team of data analysts to drive data-driven strategy, leveraging advanced analytics and machine learning for real estate portfolio insights.

The Lead Portfolio Insights Analytics role involves overseeing a global analytics team, translating business requirements into strategies, and leveraging advanced analytics for real estate portfolio insights to drive decision-making.

The Customer Success Manager will enhance customer experience by driving product integration, managing account health, and advocating for customer needs within the company.

As a Senior Software Engineer, you will develop and support kernels for linear algebra operations on AI hardware, ensure performance and correctness, and mentor team members.

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

Manage the end-to-end product lifecycle for financial crime tools, focusing on compliance, innovation, and backlog management while liaising between engineering and business teams.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Investor Services Director oversees Investor Services and Transfer Agency processes, ensuring high-quality service to clients and compliance with regulations, while managing teams and improving operational procedures.

Lead investigations into KPI shifts, mentor Brand Analysts, bridge business and data science teams, and create innovative segmentation strategies.

As a Software Engineering Intern, you will build and test software features, collaborate with engineers, troubleshoot issues, and demo your work to the Product Owner.

The role involves leading a team of Data Science Engineers to develop sports analytics and predictive models, ensuring high quality of data science workflows and collaboration with the Engineering Manager.

The Portfolio Accounting Supervisor executes reconciliations and supervises cash, position, and OTC reconciliation processes, while mentoring the team and ensuring compliance with guidelines.

The Fund Accountant will handle trade capture, reconciliations, pricing, and assist with NAV calculations under supervision, ensuring accuracy and timely reporting.