Top Machine Learning Jobs in Bucharest

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.

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 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.

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

Develop and integrate machine learning solutions for fraud prevention in transactions, analyze data using SQL and Python, and manage the complete lifecycle of ML solutions.