AI / Machine Learning Engineer | Models That Guide Missions, Not Ads

Thales
Romania
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Trajectory-driven","Collaboration","Problem-solving","Ship production models"]

Build and deploy machine learning models and applied AI for operational programs with a direct line into the AI factory. Work with data science and ML to ship models that integrate into systems people depend on. Use Python, SQL, and ML frameworks like scikit-learn, PyTorch, or TensorFlow, with exposure to MLOps and cloud data services. Benefit from flexible/hybrid working and ongoing learning support.

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FursaFursa
Thales
Thales
2 months ago

AI / Machine Learning Engineer | Models That Guide Missions, Not Ads

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and deploy machine learning models and applied AI for operational programs with a direct line into the AI factory. Work with data science and ML to ship models that integrate into systems people depend on. Use Python, SQL, and ML frameworks like scikit-learn, PyTorch, or TensorFlow, with exposure to MLOps and cloud data services. Benefit from flexible/hybrid working and ongoing learning support.
Location: Romania
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop machine learning models and applied AI for operational programs
  • •Partner with the AI factory to connect deployed models with European operations
  • •Ship models deployed into systems people depend on
  • •Work across data science and ML to improve decision-changing outcomes
  • •Apply ML engineering practices including model deployment and operationalization

Pay and Benefits

Perks:Health InsuranceMeal AllowanceHybrid WorkLearning Budget

Key Requirements

  • •2+ years as a data scientist or machine learning engineer
  • •Experience shipping machine learning models into real systems (not just prototypes)
  • •Proficiency with Python and SQL
  • •Hands-on experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow
  • •Comfort with model deployment basics; MLOps and cloud data services exposure is welcome
Experience:2+ years
Skills:Trajectory-drivenCollaborationProblem-solvingShip production models
Languages:French
Tech Stack:PythonSQLScikit-learnPyTorchTensorFlowMLOpsCloud data services

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn