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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.
Job Responsibility:
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
What we offer:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing