Top Machine Learning Jobs in Krakow

The Fund Accounting Director leads NAV processes, manages accounting teams, ensures timely delivery, and collaborates with clients and internal departments while resolving issues and enhancing procedures.

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

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Serve as a senior AI advisor delivering AI/GenAI projects: define architectures and best practices, lead technical teams, create DS/AI offerings, support sales and delivery, evangelize AI across clients and the company, research market trends, and ensure high customer satisfaction throughout the project lifecycle.

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 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.

As a Summer Trainee, you will support the development of AI/ML tooling, collaborate with teams in a SCRUM environment, automate processes using Python, and document best practices.

Lead the applied machine learning team, oversee model development, ensure integration with products, and maintain best practices while driving continuous improvement and measurable impact in life sciences and healthcare.

The Senior FinCrime Product Owner will design and implement a financial crime prevention product, develop strategy, and lead product delivery at Deblock.

The Director of Applied Machine Learning will build and lead a team, drive ML model development, ensure ML solutions meet operational standards, and collaborate with various teams to deliver impactful results in life sciences and biotechnology.

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

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

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

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

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

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

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

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

The Machine Learning Engineer II will develop and optimize ML models, process large datasets, and integrate ML solutions while collaborating with peers and staying up to date on technologies.

The role involves designing and testing AI solutions, managing research projects, collaborating with teams, and introducing new ML concepts for product development.