Top Artificial Intelligence Jobs in Romania

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

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.

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.

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

As a Legal Engineer, you'll design AI-powered workflows for legal professionals, partner with clients, and improve legal tech solutions alongside cross-functional teams.

The Product Manager will lead product strategy for AI-driven security tools, overseeing vision, user needs, product execution, and market strategies.

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

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 AI Full-Stack Developer will design, build, and deploy AI-enabled web applications using modern frameworks, focusing on scalability and integration with LLMs.

Seeking an AI Full-Stack Developer to work with the MERN stack. The role involves developing AI solutions within a collaborative team environment that values diversity and inclusion.

Lead AI Engineer responsible for AI product development, team management, solution design, AI model lifecycle management, and promoting AI governance and ethics.

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.

The Staff AI/ML Engineer leads complex machine learning projects, mentors junior engineers, and drives AI solutions integrating into business processes, ensuring ethical practices.

Lead the architecture and development of AI platforms, manage a team, and drive AI adoption in the automotive division, ensuring process excellence and data governance.

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

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.

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

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.

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.

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