Top Machine Learning Jobs in Bucharest

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Manage engineering for the NG-SIEM product group, driving operational excellence and innovation in a secure, high-quality environment while building and leading strong engineering teams.

As a Principal Engineer, you will develop scalable systems for threat detection, lead product strategy, and collaborate with cross-functional teams.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

The role involves diverse data-related tasks, including data collection, evaluation, annotation, and labeling across various content types, requiring native-level fluency in Turkish and English proficiency.

Seeking a Senior Data Scientist to develop advanced data science solutions addressing ESG challenges, collaborating with cross-functional teams while leading project management and R&D efforts.

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

The Head of Master Data Management oversees master data governance and quality, leads MDM initiatives, and implements data standards while driving AI integration across the organization.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

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

As an AI Developer Intern, you will support the AI engineering team in developing AI solutions, participating in workflow redesign discussions, and exploring AI technologies.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

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

The Lead AI Engineer role requires overseeing AI project lifecycles, optimizing AI workflows using LLMs, and collaborating with cross-functional teams to align AI solutions with business objectives.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Develop and implement machine learning models for lead scoring, customer segmentation, and optimization, while collaborating across teams to drive data-driven strategies.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Senior Quality Operations Engineer will manage quality systems, ensure compliance with regulations, oversee audits, and optimize workflows in medical technology.

As a Machine Learning Engineering Intern, you'll work on real projects, collaborate with teams, and contribute to Adobe's innovation efforts through meaningful coding and problem-solving.