Top Machine Learning Jobs in Bucharest

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.

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.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

Design and implement advanced LLM applications for payroll, lead architecture and optimization efforts, collaborating with diverse teams and enhancing system reliability.

Responsible for developing AI/ML solutions in cloud-based environments, optimizing pipelines, integrating ML models, and mentoring junior staff.

The Senior Machine Learning Engineer will drive innovative ML features within Adobe Creative Cloud, focusing on software integration, performance, and mentorship in a collaborative environment.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain production performance, and document processes. Stay updated in ML and propose innovative solutions.

The role involves building and integrating data pipelines, enhancing feature stores for real-time ML applications, and improving data monitoring for FinCrime contexts.

Lead a team of engineers to develop and deploy innovative ML solutions, focusing on LLMs and AWS Cloud services, while overseeing the ML lifecycle and fostering team growth.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

As a Machine Learning Engineer, you'll deliver AI/ML solutions, collaborate with teams to address business challenges, and build scalable ML products for enterprise clients.

This role involves designing prompts for GPT systems, developing features, evaluating LLM releases, and Python development for AI solutions.

The role involves deploying and maintaining machine learning pipelines, developing retrieval-augmented generation systems, and optimizing model performance, requiring extensive experience in ML Ops and software engineering.

The ML Research Engineer will develop and deploy computer vision algorithms, mentor junior engineers, and collaborate across teams to enhance item authentication solutions.

The Robotics ML Engineer will build AI-first robotics projects and data pipelines, create educational content, and interact with customers to improve projects at Rerun.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.