Top Machine Learning Jobs in Krakow

As a Founding AI/ML Research Engineer, you'll shape AI models, build training pipelines, and design scalable systems for a consumer AI application. This role emphasizes ownership and technical influence on product and architecture.

Lead the technical direction of A1 by shaping model selection, training strategies, and infrastructure, while creating impactful consumer AI applications.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive data-driven decision-making and automation.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

Lead the design and development of algorithmic stages for cloud applications in geospatial big data. Collaborate with teams to integrate solutions and align product development with customer needs.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Design and develop machine learning solutions, manage ML infrastructure, ensure MLOps best practices, and collaborate with cross-functional teams.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The Staff ML Engineer will design and optimize ML platform components, enabling scalable and reliable AI-driven experiences at Zendesk, while collaborating with various engineering functions.

The AI/ML Engineer will design, develop, and deploy machine learning models, collaborating with teams to drive AI solutions and automation.

Lead a team in developing AI solutions using ML and LLMs, manage projects, optimize models, and ensure cloud best practices.

The Data Engineer will design and maintain data pipelines and infrastructure, support analytics and automation, and collaborate on ML/GenAI projects.

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.

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.

The role involves leading a team of engineers in developing and deploying ML/AI solutions, focusing on LLMs on AWS, while ensuring technical execution and team growth.

As a Senior Machine Learning Engineer, you'll develop recommender systems, build data pipelines, deploy models, run A/B tests, and collaborate with product teams for impactful AI solutions.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.