Top Machine Learning Jobs in Poland

The VP of Fund Accounting oversees NAV calculations, leads assigned teams, manages client relations, ensures compliance, and improves processes.

The Private Equity Assistant Vice President oversees NAV calculation for Private Equity funds, manages client relationships, leads accounting groups, and enhances operational workflows.

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

Lead and mentor a team of engineers in developing and deploying machine learning solutions, focusing on LLMs and AWS services while ensuring project alignment with business goals.

The ML Engineer will develop and improve ML models, collaborate with teams, manage production models, and maintain experimentation pipelines.

As a Machine Learning Engineer, you'll deploy ML models, develop APIs, and work with Data Scientists to enhance operational efficiency and integrate AI into production systems.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

Lead and manage machine learning projects and teams, enhance robot capabilities, deploy ML systems, and integrate algorithms successfully.

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.

The AI/ML Engineer designs, develops, and deploys machine learning models. Responsibilities include model optimization, data preparation, deployment using MLOps, and collaborating across teams to implement AI solutions.

Integrate and implement standard machine learning models into production systems, optimizing for efficiency and monitoring performance, while ensuring seamless data flow and documentation.

The Staff Software Engineer will guide technical aspects of ML data pipelines, backend development, and multimedia ML solutions, collaborating cross-functionally to improve rider experiences.

As a Senior Software Engineer on the Car Experience team, you will guide backend development and machine learning data pipelines focused on enhancing rider experience in autonomous vehicles.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

The ML Research Engineer will develop and deploy computer vision algorithms, mentor junior engineers, and collaborate across teams to enhance item authentication solutions.

The role involves building and iterating machine learning models, collaborating with stakeholders to address Trust & Safety issues, deploying models in production, and improving team performance through knowledge sharing and documentation.

As an ML Ops Engineer, you'll streamline deployment and monitoring of ML models, build ML pipelines, and ensure scalable infrastructure in gaming.

The Staff ML Scientist will innovate with AI on payments data, develop algorithms, automate predictive pipelines, and collaborate on machine learning solutions.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

Design and implement ML solutions focusing on personalization systems, MLOps automation, and performance optimization for workplace environments.

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

Design and deploy LLM applications, lead architecture and optimization efforts, collaborate with teams, and make significant impacts at Deel.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

As a Machine Learning Engineer at Tenstorrent, you'll optimize AI models for custom devices, analyze performance, and collaborate with teams.

The role involves developing and applying machine learning and AI algorithms, leading innovation in financial payments through statistical analysis and collaboration with various stakeholders.