Top Machine Learning Jobs in Romania

As a Machine Learning Engineer, you'll develop features, analyze algorithms, build Proof Of Concepts, implement algorithms, and optimize existing solutions, using machine learning frameworks and programming languages.

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

Lead a team of engineers to design and optimize scalable payment solutions. Drive improvements in performance while ensuring quality code and managing projects effectively.

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

Develop and integrate embedded solutions for drone systems, participate in sea trials, troubleshoot hardware onsite, and ensure operational stability.

The AI Data Specialist will perform data-related tasks such as collection, evaluation, annotation, and tagging across various content types to improve AI-generated content.

As a Junior Full Stack Engineer, you'll build features and enhance web apps, focusing on coding best practices and code quality, with a degree in computer science preferred.

As an AI Engineer at Convergent AI, you will build adaptive learning systems, design architectures, and optimize real-time media interactions for effective training simulations.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

The Staff Analytics Engineer designs analytics solutions, leveraging machine learning algorithms to optimize industrial equipment performance through data analysis and customer collaboration.

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.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

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.

The Senior Sales Engineer will support technical sales efforts, deliver demos, and provide a consultative role to potential customers, focusing on data labeling solutions for AI systems.

As a Senior ML Engineer at Smartcat, you will enhance translation capabilities by optimizing ML models and developing benchmarks, focusing on high-performance solutions for clients.

The Senior Applicative DBA will manage performance, design, and maintenance of product-related databases, optimizing them for efficiency and scalability while collaborating with development teams.

Lead business development at Toloka AI, targeting Big Tech and startups. Drive growth through client relationships, commercial discussions, and project structuring.

The role involves collaborating on problem-solving, developing and integrating the AEM platform with consistent UI design, and leading a team in high-quality scalable solution delivery.

As a Senior Data Scientist, you'll create data science strategies, conduct experiments, and implement machine learning solutions that drive business value, while collaborating with stakeholders and mentoring junior members.

Responsible for applying machine learning and statistical modeling techniques, collaborating with teams, and communicating insights to stakeholders to drive business value.

The Senior Data Scientist at Thoughtworks collaborates with teams to develop data science solutions, conducts experiments, communicates insights, and mentors junior members, focusing on ethical data handling and impactful business strategies.

Lead Data Scientist responsible for managing data science projects, integrating advanced modeling techniques, collaborating with stakeholders, and ensuring data quality while driving measurable business outcomes.

Lead data science projects, integrating statistical expertise with business needs, collaborating with stakeholders, and ensuring ethical AI practices. Responsibilities include designing experiments, implementing models, and coaching team members.

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