AI Jobs in Romania: Opportunities, Skills & How to Break In
Romania's AI scene is expanding fast, with universities, startups and multinationals all hiring machine learning engineers, data scientists and MLOps specialists. Cities like Bucharest and Cluj-Napoca have become tech hubs, while remote and hybrid roles widen opportunities across the country. Whether you're an experienced ML engineer or just starting out, Romania offers a growing market for AI talent and a cost-competitive environment for employers.
AI job market overview in Romania
The AI job market in Romania is maturing quickly. Large international companies, local scaleups and research labs recruit for roles in machine learning, natural language processing, computer vision and data engineering. Bucharest leads in job volume thanks to headquarters and corporate R&D centers, while Cluj-Napoca, Timisoara and Iasi host vibrant startup scenes and strong university talent pipelines. Demand is strongest for practical engineers who can productionize models, for data scientists who combine domain knowledge with statistics, and for MLOps specialists who manage deployment and monitoring.
Key roles, skills and technologies employers want
Common roles include ML Engineer, Data Scientist, NLP/Computer Vision Engineer, MLOps Engineer and AI Product Manager. Technical skills employers frequently list are Python, PyTorch or TensorFlow, scikit-learn, SQL, data wrangling, software engineering best practices, Docker, Kubernetes and cloud platforms (AWS/GCP/Azure). Strong foundations in statistics, model evaluation, feature engineering and experiment design are critical. Soft skills — clear communication, English fluency and cross-team collaboration — make candidates stand out. For research-heavy positions, a strong publication record or advanced degree can be advantageous, while applied roles prioritize production experience and a portfolio of projects.
How to find AI jobs in Romania and tips to get hired
To land an AI role in Romania, combine active job searching with portfolio-building. Use LinkedIn and local job boards (e.g., eJobs, BestJobs) and follow company careers pages. Attend meetups, conferences and university events in Bucharest or regional tech hubs to network with hiring managers. Build practical evidence of your skills: contribute to open-source, publish Kaggle notebooks, and keep a polished GitHub with end-to-end projects demonstrating data pipelines and deployed models. Prepare for technical interviews by practicing coding, ML fundamentals and system-design questions. If you’re applying from abroad, highlight remote collaboration experience and clarify relocation or visa needs; EU citizens can work freely, while non-EU applicants should discuss sponsorship early.
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