Aperçu du CV
Senior Machine Learning Engineer
À négocier
RussieMoscou
Temps pleinTélétravail
Expérience professionnelle
6 ans 7 mois
Dernier emploi
Avito
ML Engineer
11 mois
À propos de vous
À propos de vous
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.
Expérience en affiliation
Aucune donnée disponible
Expérience professionnelle6 ans 7 mois
Novembre 2025 - à aujourd’hui
(11 mois)
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.
Mars 2024 - Octobre 2025
(1 an 8 mois)
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.
Avril 2021 - Mars 2024
(3 ans)
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.
Janvier 2019 - Janvier 2020
(1 an 1 mois)
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.
Compétences
ONNX
vLLM
TensorRT
diffusers
Huggingface
Milvus
CVAT
ClearML
Triton
Transformers
Git
Docker
FastAPI
PyTorch
Kafka
Maîtrise des langues
Aucune donnée disponible
Type d’emploi
Type d’emploi
Temps plein
Format de travail
Télétravail
Horaires de travail
Flexible, 5/2
Relocalisation
Possible
Déplacements professionnels
Déplacements possibles