Top Artificial Intelligence Jobs in Romania

The role involves building AI-powered backend systems, combining coding, APIs, and AI tools to create effective solutions. Responsibilities include developing workflows, optimizing performance, troubleshooting, and documenting processes.

Provide administrative and operational support for the Data & AI organization by managing schedules, meetings, and team communications, and coordinating projects and onboarding activities.

The Senior Data Scientist drives AI platform development, establishes standards, partners with engineering teams, mentors, and ensures responsible AI adoption across Awin.

The AI Video Editor / Motion Designer creates AI-driven video content for various platforms, optimizing for conversion rates through storytelling and technical skills in video editing and AI tools.

Develop AI agents and systems, architect solutions using generative AI, integrate providers, manage data structures, ensure system performance, and collaborate with teams.

Develop and deploy AI agents, integrate various AI solutions, design system architecture, and collaborate with cross-functional teams to enhance AI systems.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

The Generative AI Design Specialist will create high-fidelity AI-generated visuals for marketing campaigns, ensuring consistency and adherence to brand guidelines. Responsibilities include designing workflows, analyzing trends, training models, maintaining quality control, and developing best practices. Collaboration with production teams is key.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

The Senior Data Engineer will design and maintain data pipelines, develop ETL processes, optimize GCP services, ensure data quality, and collaborate with stakeholders.

Responsible for designing and maintaining an AI orchestration platform, overseeing AI solutions' integration, governance, and continuous improvement in collaboration with various stakeholders.

The role involves developing AI-powered applications, contributing to both MCP servers and React frontends, driving technical initiatives, and ensuring collaboration for integration.

Design, build, and deploy machine learning models. Develop AI workflows using various frameworks, and optimize data processing on AWS.

The position requires leading the design and implementation of AI and automation solutions, ensuring alignment with enterprise architecture standards and driving digital transformation in banking.

Lead technical direction and mentorship in AI engineering, develop end-to-end AI applications, and architect AI-driven systems using advanced technologies.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

The Gen AI Adoption Lead will help integrate AI into engineering workflows, lead training sessions, and develop playbooks for GenAI adoption across teams.

As a Technical Analyst, you'll automate marketing workflows and develop product-facing AI features for PropertyShark, leveraging large datasets and analytics.