Top Machine Learning Jobs in Bucharest

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

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 Innovation Labs Expert will drive technical innovation, prototype multi-vendor solutions, and collaborate with sales teams to deliver proof-of-concepts for advanced wireless architectures.

The Pricing Actuary will develop pricing tools, support account pricing, conduct analyses, and contribute to regulatory tasks while collaborating with underwriters.

The AI Engineer will develop AI solutions, implement LLM applications, optimize RAG pipelines, and deploy ML models across cloud platforms while collaborating with cross-functional teams.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

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.

Lead the LLM team in architecting, deploying, and managing AI models that enhance user interactions. Involve in coding, mentoring, and improving moderation systems for an AI companion platform.

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

The Senior Data Analytics Engineer will design and maintain analytical pipelines, write SQL for large datasets, utilize AI tools, and communicate insights to stakeholders.

As an AI Research Engineer, develop reinforcement learning algorithms, optimize decision-making, debug and enhance learning pipelines, and integrate models into production systems.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

Define strategy and roadmap for analytics and predictive intelligence for MSPs. Engage partners and users, translate insights into PRDs, prioritize backlogs, and ship AI-powered analytics. Lead market analysis, GTM, beta programs, and measure adoption, detection accuracy, and business impact.

Develop and modernize Ubisoft's internal crash reporting system across multiple components. Revamp C# desktop/web UIs, design REST APIs, integrate telemetry and AI assistance, collaborate with production and engine teams to improve UX and tooling efficiency.

As a Senior Product Manager, you will define product vision, analyze market trends, manage product KPIs, and collaborate with teams to deliver innovative solutions.

The role involves reviewing AI-generated outputs, analyzing multimedia, and providing culturally relevant content feedback. Strong analytical skills and attention to detail are required.

Develop and maintain applications using Python, focusing on integrating AI and machine learning, implementing ETL processes, and optimizing applications for performance and scalability.

Design and implement AI/ML and computer vision solutions on Microsoft Azure, focusing on scalable, production-ready systems. Responsibilities include mentoring, ensuring performance, and guiding best practices.

The Senior Product Manager will own and drive the development of Kraken's Algorithmic Execution & Strategy Engine, focusing on execution algorithms, API specifications, and client engagement to optimize trading strategies.

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

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

Lead large-scale ML projects overseeing their entire lifecycle. Influence technical decisions, design ML pipelines, and mentor other engineers.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The role involves building, training, and deploying machine learning models using AWS tools, optimizing workloads, and collaborating with data engineers.