Top Machine Learning Jobs in Bucharest

The Sr. Sales Engineer will support the sales team, engage customers, provide technical solutions, and document requirements for AI technologies.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

The role involves training as a data analyst or data scientist, focusing on using data to improve banking functions within ING. Candidates will experience job rotations across various banking sectors and gain hands-on analytics skills.

As an NLP/LLM Data Scientist, you will develop and operationalize AI-driven solutions, enhancing KYC processes through innovative analytics and machine learning frameworks. You will collaborate with ML engineers and stakeholders across ING to implement and scale these solutions.

Lead a team of data scientists in delivering analytics products for financial crime use cases, managing their development and performance.

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

Lead the development of AI models and prototypes, oversee technical architecture, and mentor a team in producing innovative AI solutions and products.

The role involves optimizing refining and petrochemical processes using machine learning, collaborating with teams to improve efficiencies and analyze data.

The role involves designing reporting solutions within the D365 environment, collaborating with teams, and mentoring others. Requires strong data engineering expertise and experience in reporting tools like Power BI.

The Product Manager will transform AEC data workflows using Revit, manage relationships with customers, define product vision, and collaborate with teams.

The Enterprise Account Executive will drive SaaS sales of Sift's fraud solutions, engage with prospects, and build business cases for customer challenges while shaping strategic growth.

The role involves driving sales of Sift's fraud solutions to large businesses, engaging with prospects, building trust, and collaborating across teams. Requires strategic thinking and a consultative problem-solving approach.

Lead the development of AI curriculum to bridge conceptual understanding and practical application for professionals across various domains.

Lead the development of an AI curriculum, designing engaging courses for diverse professionals, collaborating with instructors, and enhancing content quality using feedback and analytics.

Lead the development and design of AI-focused curriculum, manage projects, collaborate with instructors, and enhance learning experiences based on feedback.

Lead and oversee multilingual data projects from planning to delivery, ensuring quality and timely execution while managing cross-functional teams.

As an Applied Machine Learning Engineer, you will develop and deploy machine learning solutions, collaborating with cross-functional teams to address business problems.