Widok CV
Senior Machine Learning Engineer
Do negocjacji
RosjaMoskwa
Pełny etatZdalnie
Doświadczenie zawodowe
6 lat 7 miesięcy
Ostatnie doświadczenie zawodowe
Avito
ML Engineer
11 miesięcy
O mnie
O mnie
ML Engineer specializing in building end-to-end machine learning solutions that directly improve product quality, moderation efficiency, and user experience. Led development of LLM-powered summarization and content tagging services, high-speed CV pipelines, and pricing prediction models. Experienced in optimizing inference performance (TensorRT, ONNX), improving datasets, and accelerating annotation processes.
Doświadczenie afiliacyjne
Brak danych
Doświadczenie zawodowe6 lat 7 miesięcy
Listopad 2025 - do teraz
(11 miesięcy)
Avito
ML Engineer
• Work on Real Estate Instant Market Value (RE-IMV) estimation services.
• Optimizing training pipelines and model architecture.
• Enhancing preprocessing and feature engineering to boost prediction metrics.
Marzec 2024 - Październik 2025
(1 rok 8 miesięcy)
RUTUBE
ML Engineer
• Built a subtitle summarization and IAB tags generation service using LLMs.
• Worked with open-source LLM engines and applied quantization to improve speed.
• Developed CV services for automated content moderation (detection, classification).
• Increased moderation speed by 20%.
• Accelerated model performance using TensorRT.
Kwiecień 2021 - Marzec 2024
(3 lata)
Digital Mind Development
ML Engineer
• Built a real-time video analytics system generating CV-based events.
• Trained models for classification, detection, tracking, segmentation, OCR.
• Improved annotation speed: +30% for segmentation, +50% for detection via semi/automatic tools.
• Created services for preprocessing and training pipelines.
• Refactored and structured the project codebase.
• Supervised annotation team and mentored two junior developers.
Styczeń 2019 - Styczeń 2020
(1 rok 1 miesiąc)
Siberian State University of Science and Technology
Software Engineer
• Built a CV system for weed detection in agriculture.
• Collected and annotated dataset.
• Trained models and published scientific work.
Umiejętności
ONNX
vLLM
TensorRT
diffusers
Huggingface
Milvus
CVAT
ClearML
Triton
Transformers
Git
Docker
FastAPI
PyTorch
Kafka
Znajomość języków
Brak danych
Typ zatrudnienia
Typ zatrudnienia
Pełny etat
Tryb pracy
Zdalnie
Grafik pracy
Elastyczny, 5/2
Relokacja
Możliwa
Wyjazdy służbowe
Możliwe wyjazdy służbowe