Top Machine Learning Jobs in Bucharest

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

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.

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 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.

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.

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

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

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.

The Senior Project Manager will lead engagements focusing on customer adoption of Google Cloud services, managing projects, and facilitating stakeholder interactions for cloud transformation initiatives.

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

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

Develop and optimize customer-focused AI-driven cloud services, strategies and integrate ML/AI models onto platforms while ensuring high performance and effective operations.

The Refining and Petrochemical Process Optimization Engineer will optimize processes using machine learning, collaborating with R&D, and supporting client implementations.

Lead the AI/ML team to develop innovative solutions for environmental challenges, emphasizing strategic guidance, collaboration, and team empowerment.

As a Machine Learning Software Engineer at Adobe, you will develop large-scale ML solutions, collaborate with cross-functional teams, and engage with customers to solve business problems using AI.

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

The Senior ML Engineer will enhance fine-tuning methodologies, research inference optimization techniques, and re-implement LLM architectures focusing on distributed training and efficiency.

The role involves designing AI solutions for clients, building relationships, delivering presentations, and collaborating with engineering teams.

As an ML Ops Engineer, you will manage AWS-based ML infrastructure, streamline model deployment and CI/CD pipelines, and ensure reliable, production-ready models through monitoring and observability practices.