Top Machine Learning Jobs in Bucharest

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

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive automation and advanced analytics while ensuring data quality and model performance.

Design, build, and operate large-scale geospatial data pipelines and production ML/agent systems. Own data ingestion, distributed processing, model training, deployment, monitoring, and observability. Develop backend services and tooling, integrate agent frameworks, collaborate with product and customer teams to drive revenue and reliability.

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.

Lead design, build, and deployment of ML solutions (classifiers, regressors, ranking, LLMs). Own ML lifecycle tasks: data exploration, feature engineering, training, evaluation, deployment, monitoring, and pipelines. Collaborate cross-functionally to deliver measurable impact, ensure code quality, reproducibility, and responsible ML practices.

Lead design and delivery of scalable ML solutions across the platform, owning the full ML lifecycle from feature engineering to deployment. Influence roadmap, translate technical findings for stakeholders, enforce best practices, and mentor junior engineers while shipping production-quality ML products.

As an AI/ML Agentic Engineer, you'll design autonomous AI agents, build multi-agent systems, and deploy predictive models while collaborating with stakeholders and advancing AI strategies.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

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.

Lead large-scale ML projects overseeing their entire lifecycle. Influence technical decisions, design ML pipelines, and mentor other engineers.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.