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Expleo Group
Expleo Group
परामर्शरक्षालॉजिस्टिक्स
Expleo Group एक वैश्विक इंजीनियरिंग, प्रौद्योगिकी और परामर्श साझेदार है, जो संगठनों को अपने संचालन में बदलाव लाने, जटिल उत्पाद विकसित करने तथा विनिर्माण और गुणवत्ता प्रक्रियाओं में सुधार करने में सहायता करता है। इसका कार्य परामर्श, रक्षा और लॉजिस्टिक्स के क्षेत्रों तक फैला है, जिसमें कृत्रिम बुद्धिमत्ता, डिजिटल रूपांतरण और साइबर सुरक्षा जैसी क्षमताएँ शामिल हैं। 1966 में स्थापित Expleo, 29 देशों में काम कर रहे 18,000 विशेषज्ञों की टीम के साथ पांच दशकों से अधिक के अनुभव को जोड़कर नवाचार और परिचालन प्रदर्शन को समर्थन देता है।
LinkedIn
कंपनी की नौकरियाँ

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.

INभारतहाइब्रिडपूर्णकालिकजूनियरमध्य स्तरआवश्यक भाषा: अंग्रेज़ीAI इंजीनियरमशीन लर्निंग इंजीनियर
ERPPandasPythonPyTorchScikit-LearnSQLTableauTensorFlow

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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