Top Machine Learning Jobs in Poland

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Lead AI-driven consulting engagements, develop AI strategies, manage multidisciplinary teams, mentor junior colleagues, publish thought leadership, and build external network.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Build and maintain ML model deployment platforms, ensuring reliability and scalability. Collaborate with AI engineers to optimize performance and handle alert issues.

The GenAI Ops Engineer manages AI model operations, ensuring their deployment, optimization, and scalability, while collaborating across teams to innovate generative AI solutions.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

The Business Insights Data Analyst will manage data analysis projects, develop machine learning models, create dashboards, and communicate insights to various stakeholders.

The Senior Machine Learning Scientist will design and implement AI solutions, manage research projects, and collaborate with cross-functional teams to improve the AI Agent product at Zendesk.

The R&D Scientist will enhance simulation-based engineering processes using ML, lead research projects, collaborate globally, and publish findings.

As a Product Owner for Machine Learning, you'll deliver impactful analytics features for non-technical users, manage product backlogs, and collaborate with data teams.

The role involves leading R&D projects to model and simulate power systems, utilizing machine learning and numerical simulations to support energy transition efforts.

Lead and implement a multi-year SCM continuous improvement strategy, utilizing Lean principles and advanced analytics to optimize processes, mentor teams, and deliver business results.

The role involves conducting R&D in process mining, proposing projects, collaborating with teams, implementing solutions, and disseminating results in publications.

The Senior Product Manager - Capture leads AI-based invoice capture and validation, driving strategy and collaboration across teams to optimize document processing for accounts payable automation.

The Principal ML & AI Scientist will lead the development of AI and machine learning models to address business challenges, focusing on innovations in financial payments, while collaborating with cross-functional teams and automating predictive pipelines.

The Staff ML Scientist will develop algorithms and models for AI research in financial payments, enhancing products with machine learning and deep learning methodologies, and collaborating with various teams.

The Staff ML Scientist will drive AI research in payments data, focusing on machine learning innovations and collaborations to enhance Visa's products.

The Head of Master Data Management oversees master data governance and quality, leads MDM initiatives, and implements data standards while driving AI integration across the organization.