#vacancy #job #work #hiring #ComputerVision #cv **👩🏼‍💼 Position: Computer Vision Engineer / Data Scientist 🎓 Level: Senior 💪 Experience: 6+ years (NOT freelance) 🛠 Stack: **CV, SSL, Python, PyTorch, TensorFlow **🌎 Location: **#Remote 🕗 Employment: #Fulltime 🌐 Timezone: UTC+3 🚀 Company: ITM 💰 Salary: 250,000₽ – 400,000₽ net

🏅 REQUIREMENTS:

1. 6+ years of experience in Computer Vision.
2. Experience bringing models to production is mandatory.
3. 1+ year of experience with medical images in production: CT, mammography.
4. 3+ years of experience with images in production.
5. 1+ year of experience with document processing / OCR / KYC.
6. 1+ year of experience with biometrics (face, palm, voice, etc.).
7. 1+ year of experience with multimodal models / LLM.

8. 1+ year of experience with fraud detection.
   

9. 1+ year of experience with video.
10. 1+ year of experience with 3D data (volumes, point clouds, meshes).
11. 1+ year of experience with Self-Supervised / Weakly-Supervised Learning.

🎯 WHO WE ARE LOOKING FOR:

1. Fulltime only, no side jobs.
2. We need "hands-on workers", NOT a technical manager. 3. We need someone who has already built complex CV systems, not someone learning on the go.

💪 WE EXPECT:

1. Independence.
2. High work speed.
3. Ability to quickly test hypotheses.

⛔️ WHO IS NOT A GOOD FIT:

1. Candidates with predominant or recent experience as technical managers – this experience is irrelevant to this position. We are looking for "hands-on workers", not a technical manager.
2. Candidates looking for a second job. Any side job will be noticed within the first 2 months. We need honest full-time commitment.
3. Candidates with predominant or recent freelance experience.

🧑‍💻 TASKS: ** Development and improvement of KYC pipelines:**

1. document image processing
2. validation, classification, data extraction
3. detection of fraud scenarios (screen, copies, editing, etc.)

** Working with multimodal models:** 4. CV and LLM integration (Vision-Language) 5. model tuning, fine-tuning, and optimization 6. building agent-based systems around LLMs

** Development of CV models:** 7. detection, segmentation, classification 8. working with documents, images, video

** Development of biometric solutions:** 9. face matching 10. palm vein / PalmPay

** Building and optimizing ML pipelines:** 11. training, inference, validation 12. working with large datasets

** Participation in R&D:** 13. experiment design 14. rapid hypothesis iteration

**✏️ TG: **@Tany_Jobs