Top Machine Learning Jobs in Bucharest

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.

As a Threat Analyst III, you will analyze breaches and malware detections, improve detection capabilities, and collaborate with internal teams to enhance threat response using machine learning.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

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.

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.

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

Lead the Planning & Forecasting product engineering team, driving architecture, system reliability, technical innovation, and team development for advanced predictive AI and ML systems.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

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

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.

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.

Lead quality assurance efforts for multilingual datasets, ensuring accuracy and cultural relevance while managing QA processes and collaborating with diverse teams.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

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 a team of 5-8 data scientists in developing advanced analytics applications to combat financial economic crimes. Oversee skill development, model building, and collaborate with stakeholders.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

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.

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

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

As a Machine Learning Engineer, you will develop and deploy ML models for Adobe's Agent Orchestrator Platform, optimizing agent behaviors and ensuring performance in production environments.

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

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 Director of Engineering for AI Infrastructure will lead the development of scalable agent orchestration and AI solutions, mentoring a multidisciplinary team and collaborating on innovative customer-focused technologies.