Top Machine Learning Jobs in Poland

The System Analyst will drive research and analysis in 5G technology focusing on radio resource management, collaborate on new features, and support product deployment.

The System Analyst will research 5G technologies, collaborate on features, contribute to standards, and support product deployment.

The System Analyst will focus on 5G systems studies, feature specifications, and collaborative development, while contributing to innovations and deploying new products.

The System Analyst role involves driving systems studies in 5G, collaborating on feature improvements, contributing to standards, and supporting product deployment.

As a System Analyst, you will engage in research and analysis for 5G technologies, focusing on Radio Resource Management and collaborate on new features and innovations. Responsibilities include simulations, advancing 5G standards, and supporting product deployment.

As a Summer Trainee, you will evaluate AI tools, support AI-assisted testing, create test plans, maintain test scripts, and collaborate with teams.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead a team to develop machine learning methods for controlling robots, focusing on production deployment and fostering a collaborative team culture.

As an AI/ML Development Summer Trainee at Nokia, you'll analyze tasks, create ML pipelines, design models, and support NLP applications.

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.

The Enterprise Architect will shape the architectural direction of EcoVadis, align business strategy with technology, and drive improvements in systems architecture for scalability and resilience.

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.

The Fund Accounting Associate will prepare reconciliations, process accruals, verify corporate actions, assist with audits, and maintain client relationships.

The Fund Accounting Supervisor oversees cash and position reconciliations, reviews fund pricing and compliance, mentors team members, and ensures deadlines are met.

The FP&A Group Reporting Manager leads group-level financial reporting, analysis, and strategic decision support for the CFO and Executive Board, ensuring accuracy and driving continuous improvement in financial insights.

The ORR Technology Lead Analyst executes testing activities for risk assessments, collaborates with business lines, identifies control weaknesses, and prepares documentation on compliance and operational risks.

The Senior Manager of Logistics Operations will oversee Moderna's European logistics hub, ensuring compliance, efficiency, and integration of advanced technologies while managing day-to-day logistics operations.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.

As a Backend Engineer, you will develop and enhance labeling tools and backend systems for mapping at Waymo, collaborating with various teams and integrating machine learning models.

As an Applied Science Intern, you will work on diverse projects involving graph analysis, reinforcement learning, and search technology, collaborating with scientists and engineers.

The role involves developing machine learning systems for robotic applications, enhancing robot dexterity, and collaborating on innovative solutions. It requires strong problem-solving skills and experience with deep learning and computer vision.

Develop SaaS platform components, participate in Agile activities, debug complex problems, and automate tests to ensure high-quality software.

As DICE Innovation Lead, drive digital transformation by identifying and developing technology opportunities, collaborating with stakeholders, and executing innovative solutions.