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Lead / Manager
Lead ML Engineer (Computer Vision) – Interview Expert
Confirmed live in the last 24 hours
nix
Europe; Poland; Ukraine
Remote
Posted April 3, 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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