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.

As a Threat Analyst III, you will analyze breaches and malware detections, improve detection capabilities, and collaborate with internal teams to enhance threat response using machine learning.

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.

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 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.

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

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

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.

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

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

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

As a Machine Learning Engineer, you will develop and maintain ML pipelines, support Google Cloud Infrastructure, ensure code quality, and conduct trainings. Collaborate with Data Scientists and effectively communicate with stakeholders to bridge data science and engineering.

Develop, optimize, and deploy machine learning and NLP models. Design generative AI solutions and maintain APIs for integration with business applications.

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

The Program Manager for AI/ML will lead technical projects, defining requirements, creating plans, monitoring progress, managing budgets, and interfacing with stakeholders to ensure successful AI/ML integration.

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.

As a Senior Machine Learning Engineer at Cresta, you will design and maintain evaluation frameworks for ASR and NLP systems, improve model accuracy, analyze data for insights, and collaborate with cross-functional teams to enhance AI-driven customer interactions.

The Senior ML Engineer will build and optimize MLOps pipelines, deploy and monitor ML models, and collaborate with Data Scientists and Engineering teams to enhance ML workflows.

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.

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.

Develop cloud-native platform components, services and APIs in Go and Python to integrate GenAI/ML services. Participate in full development lifecycle, collaborate with product and architecture teams, and ensure scalable, microservice-based implementations deployed on Docker/Kubernetes.

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