Top Machine Learning Jobs in Poland

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

Drive Visa's Responsible Data Use program by assessing AI and data initiatives, ensuring compliance, and shaping data governance policies. Collaborate cross-functionally, conduct detailed reviews, and communicate progress while leading training and promoting responsible data practices.

As a Senior MLOps Engineer, you will architect and implement MLOps pipelines and tools to enhance fraud detection and regulatory compliance.

As a Senior Middle Office Associate, manage trade lifecycle, ensure accuracy in trade bookings, resolve discrepancies, and communicate with clients and vendors effectively.

Lead and grow engineering teams, drive solutions development, oversee integrations with CRM partners, manage performance, and set ambitious goals.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.

As an intern in Translation Services, you will manage translation requests, collaborate on multilingual projects, and optimize workflows using AI tools.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Develop and deploy machine learning models for supply chain optimization, collaborate with teams, and improve model performance through data analysis.

The Software Engineer will design and develop AI-based tools, collaborate with teams to gather requirements, integrate AI algorithms, maintain systems, and conduct quality assurance.

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

The Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

The Senior Machine Learning Engineer will design, build, and maintain MLOps systems, mentor other engineers, and optimize large-scale ML workflows.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the development and deployment of AI solutions, collaborating with teams to ensure scalable, secure applications that meet business needs.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.

The role involves developing AI/ML services, optimizing production infrastructures, and collaborating with data science professionals to enhance product offerings at Vonage.

Design, build, and maintain machine learning systems to optimize restaurant operations. Collaborate with teams to ensure practical ML applications drive business results.