Lead ML Engineer (Computer Vision) – Interview Expert

Nix

Europe; Poland; Ukraine (Europe, Ukraine) Remote permanent

Posted: March 30, 2026

Job Description

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)

• 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

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

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers

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