Top Machine Learning Jobs in Romania

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.

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.

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

The role involves R&D of ISP technology, algorithm development, HW/SW co-design, sensor tuning, and customer support for image processing solutions.

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.

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.

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

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

Designs and develops methods to analyze big data, creates predictive models, and collaborates with product teams to derive actionable insights.

As a Data Scientist, you will develop predictive models, analyze large datasets, and communicate insights for product enhancement. You'll manage projects and collaborate with teams to deliver financial applications.

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.

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.

Lead cloud application architecture and migration strategy for large-scale Azure programs. Define architecture principles, govern design, drive cloud migration roadmaps, mentor teams, evaluate technologies and vendors, and ensure agile, secure, scalable microservices and data solutions with minimal business disruption.

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.