Adana, Reşatbey, Seyhan/Adana, Türkiye Remote (Global) Full-time

IOTA GROUP is hiring a Maintenance Method Engineer - Rotating Equipment (Remote)

Responsibilities

  • Define and update maintenance methods, procedures and job plans for rotating equipment.
  • Prepare comprehensive work packs, including job steps, required resources, tools and spare parts.
  • Support maintenance teams during complex technical interventions.
  • Analyze equipment performance and recommend corrective or reliability improvement actions.
  • Lead or contribute to Root Cause Failure Analysis - RCFA following significant equipment failures.
  • Develop and monitor reliability indicators including MTBF, MTTR and equipment availability.
  • Implement and improve preventive, predictive and reliability-centered maintenance – RCM strategies.
  • Support predictive maintenance activities including vibration analysis, thermography and oil analysis.
  • Contribute to spare parts strategies and inventory optimization.
  • Interface with OEMs, equipment suppliers and specialized service providers.
  • Ensure maintenance activities comply with applicable HSE, quality and regulatory requirements.
  • Participate in technical risk assessments, continuous improvement activities and, where required, HAZOP reviews.
  • Review plant design during the preparation phase to ensure adequate accessibility and maintainability of rotating equipment.
  • Review spare-parts lists, special tools and maintenance facilities to ensure operational readiness prior to plant start-up.

Requirements

  • Experience as a Maintenance Method Engineer or similar role focusing on rotating equipment

Work Arrangement

Remote (Worldwide)

Job Details
Location Adana, Reşatbey, Seyhan/Adana, Türkiye
Work mode Remote (Global)
Employment Full-time
Category other
Posted 10 days ago
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About company
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Description de l'entreprise: Leading enterprise AI software company that empowers organizations to accelerate their digital transformation by harnessing the power of visual intelligence. Their cutting-edge platform enables customers across various industries (such as Energy, Grid Infrastructure, Environment, Manufacturing, and more) to efficiently manage, analyze, and operationalize vast amounts of visual data (images, videos, Lidar, etc.). By combining computer vision, geospatial analysis, and artificial intelligence, they help businesses build and deploy AI applications at scale, turning complex data into actionable insights and tangible business outcomes. They foster a collaborative, innovative, and fast-paced environment where technical excellence and continuous learning are highly valued. Description du poste: Our client is seeking a talented and passionate Junior Data Scientist to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines specializing in complex geospatial and 3D data. Your contributions will directly impact our ability to deliver innovative solutions to our enterprise clients.Responsabilities🏗 Design, develop, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of complex data, particularly geospatial and 3D datasets.☁ Work with cloud-native solutions to analyse massive datasets efficiently🚀 Contribute to the continuous improvement of our machine learning engineering practices.📊 Troubleshoot and resolve data-related issues in a timely manner. Qualifications: 🎓 Education: Background in programming, mathematics, and algorithms (Master's degree level/M2 or equivalent).🐍 Python Proficiency: Mastery of Python, particularly scientific libraries (Numpy, Pandas, OpenCV, Scikit-Learn, etc.).🧊 Computer Vision & 3D: Strong theoretical and applied skills in computer vision and 3D geometry (3D reconstruction, constrained optimization, morphology, clustering, etc.).🗺 GIS & Remote Sensing: Knowledge of GIS/remote sensing tools for data georeferencing is highly appreciated (GDAL, QGIS, geopandas, rasterio).🧠 Deep Learning: Solid knowledge of Deep Learning and general Machine Learning, with experience in specific computer vision tasks (semantic segmentation, object detection, image classification) and PyTorch (or equivalent).🐧 System & Version Control: Familiarity with Unix/Linux environments and Git.🗣 Language: French and English written and oral proficiency Informations supplémentaires: Duration: 3 to 12 months with possible recruitment.
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