Lead ML Engineer (Computer Vision) – Interview Expert (#5002)

Stellenbeschreibung:

Europe, Ukraine

Work type: Office/Remote

Technical Level: Leader

Job Category: Software Development

Project: Software Development Office

N-iX is looking for a Lead Machine Learning Engineer (Computer Vision) to join our external expert network.

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix. This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

Responsibilities

  • Conduct technical interviews for ML / Computer Vision candidates
  • Evaluate candidates according to competency matrix
  • Assess both practical experience and theoretical knowledge
  • Provide clear and structured feedback after interviews
  • Validate real-world experience in building and deploying ML solutions

Requirements

  • 6+ years of experience in Machine Learning / Computer Vision
  • Experience taking ownership of technical solutions (design, decision-making, mentoring or leading initiatives)
  • Experience working with production ML systems
  • Upper-Intermediate English or higher
    Strong hands-on experience with PyTorch or TensorFlow
  • Solid understanding of end-to-end ML lifecycle Experience with model deployment and inference optimization
  • Experience with experiment tracking tools (MLflow, Weights & Biases, DVC or similar)
  • Understanding of distributed training concepts

Nice to have

  • Experience with model optimization tools (ONNX, TensorRT, OpenVINO, etc.)
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Experience mentoring engineers or conducting interviews

We offer

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing

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Stelleninformationen

  • Veröffentlichungsdatum:

    10 Apr 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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