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

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

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.

Welo Data seeks Romanian native speakers for flexible roles in AI-related annotation, evaluation, and prompt creation. Ideal candidates are detail-oriented and tech-savvy.

As a Web Architect, you will design architectural frameworks for AI-driven web applications, provide technical leadership, and optimize performance while documenting processes and collaborating with cross-functional teams.

The Director of Engineering for AI Infrastructure will lead the development of scalable agent orchestration and AI solutions, mentoring a multidisciplinary team and collaborating on innovative customer-focused technologies.

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.

Design and implement AI architecture within an AdTech platform, manage ML model lifecycle, and ensure data strategy governance. Leading a centralized Data/AI team with a focus on cloud MLOps and ML model deployment.

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

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

Design and develop Adobe's Agent Orchestrator Platform, focusing on AI automation, agent workflows, and mentoring team members in a collaborative environment.

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

The AI/ML Engineer will fine-tune AI models, build finance-related AI features, conduct R&D, and guide teams in custom dataset building.

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

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

Lead design, development, and deployment of machine learning models for Adobe's Agent Orchestrator Platform, driving innovation in AI systems and MLOps standard methodologies.

Design and develop Adobe's Agent Orchestrator Platform, optimizing agent workflows and mentoring team members on Python best practices.

As a Machine Learning Engineer, you will develop and deploy ML models for Adobe's Agent Orchestrator Platform, optimizing agent behaviors and ensuring performance in production environments.

Develop and design Adobe's Agent Orchestrator Platform, optimize workflows, and mentor team members in Python and AI orchestration.

Design and develop Adobe's Agent Orchestrator Platform, focusing on AI orchestration, and mentor team members while ensuring system performance and scalability.