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Top Artificial Intelligence Jobs in Poland
Seeking a highly experienced Business Lead to develop and execute a strategic vision for leveraging Customer Data to enhance user engagement, advertising monetization, and user valuation. Responsibilities include strategic planning, business context mastery, data governance, data strategy, and execution.
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.
SwissBorg seeks exceptional talent in various fields like fintech, blockchain, and AI. The company encourages profiles even without current openings, aiming to match unique skills with future opportunities to foster innovation and growth in finance management.
As a Supply Chain AI/ML Engineer, you will develop and deploy machine learning models to optimize supply chain operations, enhance forecasting accuracy, improve inventory management, and streamline logistics. Collaborating with data scientists and analysts, you'll design solutions, conduct data analysis, and integrate models into existing systems, focusing on accuracy and reliability while staying current with industry advancements.
The Lead Solution Architect specializes in Data and AI, responsible for designing and implementing data platforms and AI-driven solutions. Collaborates with cross-functional teams on architectures that address complex challenges and ensures scalability and robustness. Provides technical leadership and mentors teams in best practices and efficient solutions.
The Data Scientist will focus on AI and machine learning to automate business processes, integrate data, and enhance customer experiences. Responsibilities include developing and deploying machine learning models, analyzing workflows for optimization, and collaborating with cross-functional teams on AI solutions.
The Product Marketing Manager will develop global marketing strategies and go-to-market plans for Canonical's Machine Learning and Data Operations applications. Responsibilities include content dissemination, campaign planning, and product positioning, as well as collaboration with various teams to enhance marketing efforts and customer engagement.
The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.
As an Applied AI Engineer, you'll design, build, and deploy AI Assistants to enhance customer interactions. Your work involves collaborating with clients, understanding their needs, and continuously improving AI solutions while guiding their strategies. You'll leverage advanced tools and methods to solve critical business challenges.
As an AI & Navigation Engineer, you will extend and maintain Unreal Engine AI and navigation technology, develop systems for character behaviors, and collaborate with designers and animators. Responsibilities include writing high-quality C++ code, debugging, maintaining performance, documenting work, and creating testing tools.
The AI Product Engineer at BBH will collaborate with business stakeholders to prototype and validate AI-powered products, utilizing ML and LLMs. Key responsibilities include iterating product concepts, building an AI center of excellence, and presenting findings to senior leaders. The role requires strong coding skills and knowledge of AI pipelines, with an emphasis on communication and understanding the product development lifecycle.
As an Applied AI Engineer / Services Intern at Quiq, you will support the team in developing and deploying features for AI assistants. Your role involves integrating systems, coding solutions using Generative AI, collaborating with senior engineers, and enhancing AI technologies. The internship offers a chance for hands-on experience in applied AI and could lead to full-time opportunities after graduation.
The role involves using coding expertise to assist in training generative AI models by crafting questions, evaluating AI-generated code, and providing feedback. It requires proficiency in programming languages and attention to detail but no prior AI experience is necessary.
Seeking an experienced Solution Architect to design, integrate, lead, and maintain the end-to-end architecture of a Portfolio of AI and Advanced Analytics Platforms and Frameworks at Roche. Responsibilities include leading solution architecture, designing end-to-end solutions based on cloud-based components, ensuring system integration, maintaining architecture principles, and defining quality attributes.
As a UE5 Senior Game Programmer AI, you will design and implement gameplay mechanics for Techland's upcoming game projects, focusing on AI systems, optimizing game performance, and collaborating with artists and designers. You will work with Unreal Engine 5 for developing AI behaviors using tools like Behavior Trees and AI Controllers. Your responsibilities include code optimization, debugging, and creating systems to assist team members.
The Product Manager will lead product discovery and roadmap creation for ML-based solutions, collaborate with business stakeholders, and support the implementation of AI to address business challenges. Responsibilities include managing product backlogs, defining success metrics, and facilitating communication across teams to align objectives.
The Senior Software Engineer will work in the Data & AI team, developing highly scalable and fault-tolerant data ingestion solutions. Responsibilities include applying knowledge of distributed systems, programming in Java, Scala, or Kotlin, and developing tools for Big Data processing and machine learning models.
The Senior Software Engineer in the Data&AI team will develop scalable and fault-tolerant data ingestion solutions to process billions of events daily. Responsibilities include utilizing Big Data tools, programming in Java, Scala, or Kotlin, and applying machine learning concepts within a collaborative, hybrid working environment.
The Manager will lead a team of data professionals to implement technology and product strategies, shape Ads products, and coordinate analytical roadmaps. Responsibilities include problem identification, team development, effective communication of analysis results, and collaborating with stakeholders.
The Manager coordinates a data team focused on ads products, enhancing data strategy and analysis. Key responsibilities include team management, collaborating with product management, and developing analytical roadmaps to solve complex challenges.
The AI Expert will design and implement AI and machine learning models, perform data analysis, collaborate with teams to understand requirements, and monitor AI model performance to ensure accuracy. The role requires hands-on experience with AI frameworks and skill in explaining complex concepts to non-technical stakeholders.
This role involves researching technology trends, analyzing and enhancing systems, overseeing innovation projects, collaborating with development teams, and engaging with stakeholders to present innovative solutions. Candidates should be proficient in Python, R, and have experience in AI/ML and data analytics.
As a Principal AI Innovator, you will lead the development of AI solutions, prototype and verify innovative AI technologies, and collaborate across teams to drive AI adoption and innovation in Web3.
As an AI Engineer for Business Applications, you'll develop and deploy generative AI models and chatbots using Azure AI services, work on AI development projects for Microsoft Partners, and support the integration of AI solutions in business environments. You'll also evaluate AI tools to enhance development processes and contribute to knowledge sharing within the engineering team.
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