Expleo Group
Expleo Group
Expleo Group tashkilotlarga operatsiyalarini transformatsiya qilish, murakkab mahsulotlarni ishlab chiqish hamda ishlab chiqarish va sifat jarayonlarini takomillashtirishda yordam beradigan global muhandislik, texnologiya va konsalting hamkoridir. Kompaniya faoliyati konsalting, mudofaa va logistika sohalarini qamrab oladi; uning imkoniyatlari sun’iy intellekt, raqamlashtirish va kiberxavfsizlik yo‘nalishlarini ham o‘z ichiga oladi. 1966-yilda tashkil etilgan Expleo innovatsiyalar va operatsion samaradorlikni qo‘llab-quvvatlash uchun 29 mamlakatda faoliyat yuritadigan 18 000 nafar mutaxassisdan iborat jamoasi bilan ellik yildan ortiq tajribani birlashtiradi.

QDM Engineer, AI and Machine Learning

Build Python and machine learning solutions using automotive plant data and connected data pipelines. Help Expleo advance safer, smarter, and more sustainable mobility.

Tavsif

  • Develop technology for autonomous vehicles, electric mobility, and digitalisation.
  • Help automotive clients improve performance and sustainability through ongoing innovation.
  • Integrate technologies that enhance vehicle safety, efficiency, and environmental impact.
  • Contribute to safer, smarter, and greener transport.
  • Set up systems to collect, store, process, and visualize plant data.
  • Bring machines, PLCs, sensors, MES, ERP, quality systems, and manual data sources together on a shared platform.
  • Build data pipelines for automated transfer and integration.
  • Protect data through security, backup, and access controls.
  • Explain complex technical ideas to non-technical stakeholders.

Talablar

  • Bring 2–5 years of practical experience in data analysis and machine learning; diploma holders need 3–6 years.
  • Use Python and relevant libraries such as pandas, scikit-learn, TensorFlow, and PyTorch.
  • Understand statistical analysis and machine learning algorithms.
  • Have experience with Matplotlib, Seaborn, and Tableau for data visualization.
  • Be familiar with SQL and database management.
  • Understand data infrastructure, including data collection, storage, processing, and visualization.
  • Have experience connecting machines, PLCs, sensors, MES, ERP, quality systems, and manual data sources to a shared platform.
  • Have experience building data pipelines for automated data transfer and integration.
  • Understand data security, backups, and access control.
  • Apply strong problem-solving skills and attention to detail.
  • Work effectively both independently and as part of a team.
  • Communicate complex technical ideas clearly to non-technical stakeholders.
  • Handle basic operations in Excel, PowerPoint, and Word.
  • Hold a BE in Mechanical or Automobile Engineering, Computer Science, Data Science, Statistics, or an equivalent field; alternatively, a DME in Mechanical or Automobile Engineering or equivalent.
  • Show willingness to learn and deploy solutions.
  • Communicate effectively with different stakeholders.
  • benefits and fields.

Imtiyozlar

  • Work in a collaborative environment.
  • Access ongoing learning and accredited training courses.
  • Use a world-class learning ecosystem.
  • Work with leading companies and brands across a range of sectors.

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