Top Machine Learning Jobs in Romania

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.

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 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.

The Software Development Engineer will design, implement, and test software applications in C++, manage middleware, and support integration of ADAS sensors and machine learning models in an agile environment.

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 Machine Learning Engineer at Cresta, you will design and maintain evaluation frameworks for ASR and NLP systems, improve model accuracy, analyze data for insights, and collaborate with cross-functional teams to enhance AI-driven customer interactions.

The Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

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

The Science Expert will perform end-to-end product analysis, build analytical models, translate data into insights, and enhance analytics practices.

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.

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.

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

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.

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

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.

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.

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

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.

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.

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

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.