Top Machine Learning Jobs in Romania

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 Technical Project Lead manages R&D projects, coordinates technical aspects, interfaces with customers, and leads teams in developing automotive technology solutions.

As a Machine Learning Engineer, you will develop algorithms, analyze architectures, create proof of concepts, and optimize existing solutions in a collaborative R&D team.

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 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.

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.

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

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

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 HR digital transformation through advanced technologies and automation, define AI and digital strategies, and oversee HR digitalization projects.

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

The AI Software Engineer will design and implement AI tooling and models for embedded heterogeneous compute platforms, focusing on optimizations for efficiency and performance.

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 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.

The Data Scientist will work on data analysis, applying machine learning and generative AI to extract insights from diverse data sources in predictive maintenance and digital twins.

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.

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

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

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

Develop and modernize an internal crash reporting system: revamp C# desktop/web UIs, design/consume REST APIs, integrate AI-assisted UX, maintain backend components, and improve tooling for thousands of users.

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.