Lead Machine Learning Engineer (Computer Vision) $$$$

N-iX Top Employer

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.

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)
  • Strong hands-on engineering background
  • 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

Required languages

English B2 - Upper Intermediate
Published 26 March
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