AI / Machine Learning Engineer | Models That Guide Missions, Not Ads
At a glance
Mid-level Machine Learning Engineering role at Thales. Bucharest Orhideea · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop machine-learning models and use data science on operational programs, linking that work to the AI factory
- Move models into systems people rely on, so they inform real operations rather than remain demonstrations
- Apply Python, SQL and machine-learning frameworks to build and deploy models for operational use
What you bring
- You have at least two years of experience as a data scientist or machine-learning engineer
- You can work with Python, SQL, an ML framework such as scikit-learn or PyTorch, and basic model deployment
Who this fits
This mid-level role suits someone who wants machine-learning work to shape operational decisions and reach deployed systems. The position is based in Bucharest Orhideea, Romania, with flexible or hybrid working. French is a plus, not a requirement.
From the employer
Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.
We're Thales ECC Bucharest, one of the fastest-growing engineering centers in the city. Our AI work feeds real European operations through our AI factory (CortAIx).
THE WORK
Machine learning models, data science, and applied AI on operational programs, with a direct
line into our AI factory. Models deployed into systems people depend on, not proofs of concept.
YOUR STACK
Python, SQL, ML frameworks (scikit-learn, PyTorch or TensorFlow), model deployment basics. MLOps and cloud data services exposure welcome.
YOU
2+ years as a data scientist or machine learning engineer. You'd rather ship one model that changes a decision than ten that decorate a presentation. Not ticking every box? Apply anyway.
We hire for trajectory, not checklists.
FRENCH TRACK
French is a multiplier here, never a requirement. Combine AI skills with French and you're in the shortest supply line we hire from. Expect a faster process.
WHAT'S IN IT FOR YOU
Competitive package, private medical care, meal tickets, flexible/hybrid working, learning budget and certifications, and the stability of a group that has been building critical technology for 130 years.
WHAT HAPPENS NEXT
AI is our fastest-growing line, so we hire for it all year. Apply in five minutes, no cover letter.
Answer a few short questions about your stack and seniority, and a recruiter dedicated to your domain takes it from there. When the right project opens, you're matched first, at your level, on your timeline.
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.