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.

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.

As the AI Product Manager, you will oversee product strategy and development for AI experiences in LSEG Workspace, collaborating across teams to enhance user engagement and drive outcomes.

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.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

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.

This role involves designing and implementing ML pipelines for healthcare applications, optimizing algorithms for production, and collaborating with teams to meet business needs in AI solutions.

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

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

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

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

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

The AI/ML Engineer will implement AI features, build AI frameworks, fine-tune models, and conduct research to help develop innovative AI-driven products.

The AI/ML Engineer will fine-tune AI models, build finance-related AI features, conduct R&D, and guide teams in custom dataset building.

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

The Staff AI/ML Engineer leads complex machine learning projects, mentors junior engineers, and drives AI solutions integrating into business processes, ensuring ethical practices.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.