Top Artificial Intelligence Jobs in Romania

Contribute to the development and operation of Pfizer's MLOps platform, enhancing validation, serving, and infrastructure with multi-cloud support, while ensuring engineering quality and compliance.

Partner with customer Analytics/BI teams to implement data integrations, build reusable pipelines and APIs, configure ML models, advance reinforcement-learning pipelines, and drive BrazeAI product adoption and customer success.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The CSM Transformation PMO Lead will manage the transformation roadmap, oversee governance across initiatives, and partner with stakeholders to ensure successful change implementation.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

As an AI Intern, you will develop AI-driven software solutions, collaborate with engineers, analyze challenges, and gain hands-on experience in a supportive team environment.

The AI & Automation Intern will assist in creating internal tools, AI workflows, and automations, while collaborating with management to enhance operations. Responsibilities include researching AI technologies, building applications, and documenting processes.

The Principal AI Engineer develops generative AI solutions, collaborates with clients to understand needs, and prototypes AI models to tackle business challenges.

This role involves designing solutions for financial services, integrating AI, prioritizing product features, and collaborating with cross-functional teams to enhance client value and user experience.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead visual direction and build scalable art pipelines for mobile games, ensuring high-quality UI/UX and collaborating with AI engineers.

The Senior Product Manager will drive product direction for mobile games, leading from concept to LiveOps, while focusing on monetization and retention strategies using AI insights.

You will design and own gameplay systems, including core loops, UX, monetization, and ensure rapid development through AI tools, while improving gameplay based on data insights.

You will own level and content creation for mobile games, focusing on gameplay pacing and player engagement, using AI tools to enhance workflow.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

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

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Full-Stack Developer, you will build and scale AI products using Next.js and NestJS, manage backend services, integrate APIs, and collaborate with teams to deliver features efficiently.