Top Machine Learning Jobs in Bucharest

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

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.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

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

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

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

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.

Develop, train, deploy, and monitor end-to-end machine learning models (forecasting, churn, segmentation, classification). Collaborate with product and customers, perform data exploration, causal inference, experimentation, and present insights in English.

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 and maintain AI solutions utilizing Machine Learning and Generative AI, focusing on building LLM applications, implementing RAG pipelines, and integrating AI with enterprise systems.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

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.

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.

Design, build, and maintain end-to-end ML pipelines on Google Cloud (Vertex AI Pipelines). Convert prototypes to production, support GCP infrastructure, participate in CI/CD, unit testing, technical design, and provide training. Drive MLE best practices and collaborate with data scientists and stakeholders to align technical solutions with business needs.

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

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.

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

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 architecting and building scalable backend systems for a media intelligence platform, focusing on high throughput media processing, AI/ML integration, and system reliability.

The Senior Data Engineer designs and maintains data pipelines and AI workflows, optimizing ETL processes for BI and LLM applications.

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.