Top Artificial Intelligence Jobs in Bucharest

As a Senior Forward Deployed Data Scientist, you will collaborate with customers on data integration, ML model configuration, and contribute to product strategy through technical expertise.

Join Braze as a Forward Deployed Data Scientist where you'll collaborate with clients on data integration, enhance product capabilities, and advance reinforcement learning algorithms to drive customer success.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

The role involves creating and executing automated test cases, reviewing software specifications, and analyzing errors to improve software quality in automotive systems.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

Develop and implement software systems for generative AI, optimize code, ensure quality, and establish best practices in documentation.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

As the AI Product Manager, you will oversee product strategy and development for AI experiences in LSEG Workspace, collaborating across teams to enhance user engagement and drive outcomes.

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 AI Solution Engineer designs and maintains AI solutions using Microsoft technologies to automate processes, optimize productivity, and enhance user experiences, while collaborating with teams and training users.

The Program Manager for AI/ML will lead technical projects, defining requirements, creating plans, monitoring progress, managing budgets, and interfacing with stakeholders to ensure successful AI/ML integration.

The role involves designing secure AI/ML systems for edge devices, addressing security threats, regulatory requirements, and communicating effectively with stakeholders.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

The AI/ML Engineer will implement AI features, build AI frameworks, fine-tune models, and conduct research to help develop innovative AI-driven products.