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PREMIUM
Overview
A practical ML engineer at a senior level who builds end-to-end applied ML systems integrating model training, validation, and production serving. The strongest proven skill is delivering production-ready ML services - evidenced by the training pipelines with GridSearch/CV and the FastAPI backend with async DB, Redis caching, Alembic migrations and monitoring hooks. The public code shows solid applied ML and serving engineering but not low-level efficiency work (quantization/CUDA/Triton), novel research architectures, or large-scale distributed training artifacts.
Skills
Python
SQL
TypeScript
JavaScript
Node JS
Python
FastAPI
SQLAlchemy
Celery
Alembic
Pydantic
AI/ML
LLM
Scikit-learn
Pandas
RAG
Databases
Redis
PostgreSQL
Databases
DevOps
Docker
Rest API
Docker Compose
Nginx
Containers
Frontend
React.js
Next.js
+14
Expertise
AI/ML
Industrial AI & Smart Manufacturing
MLOps & Model Lifecycle
Senior
A practical ML engineer at a senior level who builds end-to-end applied ML systems integrating model training, validation, and production serving.
Backend
Python
Microservices & API Architecture
Middle
A backend-focused API engineer at a middle level with solid test-driven practices and attention to API contracts.
DevOps
Observability & Monitoring
Middle
A backend-focused generalist at a solid middle level who writes well-structured Python services with comprehensive unit and integration tests.
Timeline
Backend Developer
· BEM - Velikiye Luki LLC
· Middle
FastAPI
SQLAlchemy
PostgreSQL
Redis
Celery
Docker
Python
Rest API
LLM
RAG
+5
Job preferences
Backend Developer
In office, Partially remote, Fully remote
Preferred tech stack
Next.js
React.js
Python
SQL
Node JS
TypeScript
Docker
Rest API
LLM
RAG
PostgreSQL
Redis
