Top Machine Learning Jobs in Bucharest

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

The Site Reliability Engineer will enhance system reliability and automate incident responses, utilizing machine learning and DevOps methodologies to optimize performance and quality of service.

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

The Senior GoLang Engineer will design, implement, and maintain APIs and services, lead a team of engineers, and optimize performance metrics.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

The AI/ML Engineer develops and deploys machine learning models, collaborating with teams across software engineering and data analytics to support business strategies.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

As an ML Software Engineer Intern, you will design and optimize AI/ML software for embedded systems, work with neural networks, and advance innovations in model optimization tools.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

As a Middle/Senior ML Engineer, you will create and improve ML models, collaborate with teams, maintain production models, and document processes.

Oversee ML projects, manage a team, design LLMs, implement AWS solutions, and ensure best practices in ML lifecycle and team development.

The Lead Applied Machine Learning Engineer will deliver AI/ML solutions, coordinate projects, and build scalable data products to solve business challenges.

Design, develop, and deploy ML models on GCP using Vertex AI. Maintain ML pipelines, perform data analysis, and optimize ML performance.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

The Machine Learning Engineer will design, build, and deploy scalable ML solutions, collaborate with teams to align models with business goals, and optimize model performance.

Lead development of ML applications with a focus on generative AI and LLM solutions, partnering with teams to improve software products and mentoring junior engineers.

The Machine Learning Engineer will develop and deploy ML solutions, collaborate with teams, engage with customers, and promote achievements.

The Senior Machine Learning Engineer will drive innovative ML features within Adobe Creative Cloud, focusing on software integration, performance, and mentorship in a collaborative environment.

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

Lead a team developing AI solutions focusing on computer vision and generative AI, integrating ML into production workflows, and ensuring ethical practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Develop and deploy large-scale machine learning solutions, collaborate with teams, and engage with clients to address business problems.