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Senior Machine Learning Engineer — autonomous drone perception
Hiring evidence involving Python. First observed 29 Sept 2026; the response opens on jobs.dou.ua.
- Technology
- Python
- Budget
- Not provided by source
- Work format
- Hiring
- Role family
- AI / ML engineer
- Seniority
- Senior
- Observed
- 29 Sept 20265 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- jobs.dou.ua
Source job details
Structured facts are published only when supplied by the source; missing values are never invented.
- Hiring organization
- DoD Solution
- Source reference
- OPP-20260929-1592
- Location evidence
- Lviv, Ukraine
- Employment type
- full time
- Required skills
- Python; PyTorch; OpenCV; NumPy; computer vision; ONNX Runtime; TensorRT; C++
- Expected duration
- Full-time
Opportunity summary
Senior Machine Learning Engineer — autonomous drone perception. The source classifies this as hiring work involving Python. Location or remote eligibility: Hard blocker: explicitly on-site and full-time.
Technology and scope
The reported stack is Python; PyTorch; OpenCV; NumPy; computer vision; ONNX Runtime; TensorRT; C++. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Hiring: an employment-oriented search for an individual contributor or team member. Source timing: Full-time
Budget
Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.
Dates and availability
First observed by Leadiy on 29 Sept 2026, 21:14 UTC. Public since 5 Oct 2026, 00:00 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.
Related market context
In the current 30-day Hiring Pulse, Python appears in 329 of 851 observed opportunities (38.7%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.
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