Looking for a job

Evgenii Vorobev

@evgeniivorobev

Message

I build production ML systems for industrial AI and banking NLP.

Russian Federation

Message

What I'm looking for

I'm seeking a full-time remote, hybrid, or rotational ML engineering role where I can apply deep learning, NLP, and MLOps experience to complex high-load business problems.

At Freedom Bank KZ, I fine-tuned multilingual-e5-large for Russian, Kazakh, and English customer inquiries, improving F1 by 0.11 and reducing manual routing time by 60%. I also deployed a RAG system over internal regulations using Sentence-Transformers and FAISS.

Previously at Gazprom, I built CatBoost and LSTM predictive-maintenance models that contributed to a 5% reduction in operational downtime. I work across Python, PyTorch, Spark, Airflow, FastAPI, Docker, Kubernetes, MLflow, and Optuna to deliver production ML systems.

Experience

Work history, roles, and key accomplishments

ML Engineer

Freedom Bank KZ

Jul 2025 - Apr 2026 (9 months)

Fine-tuned a multilingual-e5-large model for customer inquiry classification, improving F1-score by 0.11 and reducing manual routing time by 60%. Architected and deployed a RAG system over internal regulations using Sentence-Transformers and FAISS.

Python PyTorch Sentence Transformers Faiss Kafka fastAPI Docker Kubernetes MLFlow Optuna

Data Analyst / ML Engineer

Gazprom

Mar 2022 - Jun 2025 (3 years 3 months)

Designed and implemented predictive maintenance models (CatBoost + LSTM) for gas processing units, contributing to a 5% reduction in operational downtime. Monitored and maintained Airflow DAGs and processed large-scale sensor data using Spark/Trino and S3.