Top Machine Learning Jobs in Bucharest

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 teams to deliver customer-facing demos and proof-of-concepts in the field of telecommunications.

As a Data Scientist at Yassir, you will analyze data for fraud detection, collaborate with engineering teams, and enhance ML systems through modeling and deployment.

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

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.

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.

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

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 Account Executive is responsible for the full sales cycle for enterprise accounts, developing business opportunities, and closing deals, particularly in cybersecurity.

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.

Lead the architecture and development of a programmatic AI-enhanced engineering system, overseeing a team and ensuring software excellence.

Manage and optimize Salesforce and MariaDB integrations, administer CRM configurations, troubleshoot data workflows, implement AI-driven analytics and automation, produce reports in Power BI, train sales teams, and maintain documentation and SOPs to improve sales efficiency and data-driven decision making.

The role involves developing and deploying big data anti-fraud detection solutions using Python and PySpark while collaborating with team members to ensure quality code and production support.

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.

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.

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.

The Principal Data Product Manager will lead ML and AI initiatives, define strategies, manage product roadmaps, and collaborate with teams to deliver scalable solutions that drive business outcomes.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.