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 GenAI Ops Engineer manages AI model operations, ensuring their deployment, optimization, and scalability, while collaborating across teams to innovate generative AI solutions.

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.

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

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 GoLang Engineer will design, implement, and maintain APIs and services, lead a team of engineers, and optimize performance metrics.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

The Lead Project Manager (Martech) will oversee project delivery, manage multiple teams, and drive client success through strategic leadership, efficient resource management, and agile methodologies.

The Senior ML Engineer will develop and deploy ML features for a CRM platform, collaborating with users and product teams, while enhancing ML capabilities and ensuring performance.

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

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

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

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

The Domain Solution Architect provides strategic guidance on AI/ML implementations and designs architectures combining SUSE's open-source solutions, aiding enterprise customers in navigating complex technology integrations.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

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.

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.

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

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.