Top Machine Learning Jobs in Bucharest

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.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

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.

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

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

Lead backend development for AI-powered features, optimize performance, architect scalable systems, and mentor peers while collaborating across teams.

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.

As a Senior Product Data Analyst, you'll influence product and marketing strategy using data; analyze customer behavior, build dashboards, and partner across teams to drive data-driven decisions.

Develop and implement AI-powered features, focusing on PDF parsing and product matching projects while contributing to Java-based backend development.

As a Data Scientist at Yassir, you will analyze data for fraud detection, collaborate with engineering teams, and enhance ML systems through modeling and deployment.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Machine Learning Engineer, you'll build and deploy AI solutions for healthcare, optimizing ML pipelines and ensuring model performance in regulated environments.

The role involves developing and deploying machine learning features, optimizing user experiences, collaborating with teams, and delivering impactful AI solutions.

Lead design and development of ML applications focusing on generative AI and LLM solutions, guiding teams and ensuring best practices in software engineering.

As a Senior Machine Learning Engineer, you will develop ML solutions for Adobe Creative Cloud, collaborating on architecture, implementation, and optimization while mentoring team members.

The Program Manager for AI/ML will lead technical projects, defining requirements, creating plans, monitoring progress, managing budgets, and interfacing with stakeholders to ensure successful AI/ML integration.

The role involves designing secure AI/ML systems for edge devices, addressing security threats, regulatory requirements, and communicating effectively with stakeholders.

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

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.

Lead a team of engineers to develop features for Adobe Express while collaborating with cross-functional teams, ensuring quality, and promoting innovation.

As a Machine Learning Services Engineer, you'll architect GenAI services, manage platform performance, and collaborate across teams to enhance creative applications.

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