Key skills
AzurePythonPyTorchTensorflowAIMLDeep LearningComputer VisionTensorFlow
About this role
Role Overview
- The Lead AI Engineer designs and delivers AI and computer vision solutions on Microsoft Azure, focusing on scalable, production‑ready systems.
- This role bridges data science and engineering and owns AI components end‑to‑end.
Requirements
- 5–6 years of experience in AI / ML engineering.
- At least 1 year of real‑world image processing / computer vision experience.
- Strong Python and deep learning frameworks (PyTorch or TensorFlow).
- Experience with Azure ML, containers, and model deployment.
- Experience owning AI solutions from development to production.
- Exposure to Foundry.
- Experience with real‑time or near‑real‑time inference systems.
- Knowledge of model monitoring and drift detection.
Tech Stack
- Azure
- Python
- PyTorch
- Tensorflow
Benefits
- We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest.
- Access to learning through our internal platform
- Percipio.
- Private health insurance is provided by Medicover.
- Work from home fixed monthly budget.
- A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform.
- Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports.