AI / Machine Learning Engineer | Models That Guide Missions, Not Ads
AI in this role
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.
How we score this
AI / Machine Learning Engineer | Models That Guide Missions, Not Ads at Thales scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used PyTorch in your day-to-day work.
- What are the limits of TensorFlow that you've run into, and how did you work around them?
- What's a project where you used scikit-learn hands-on?
Adapt your resume
- List these exact terms on your resume: Ml Ops, PyTorch, TensorFlow, and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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