ML Engineer
6.0/10
Aviasales
Not specified
Remote
mid
about 12 hours ago
aidevPythonSQLGitFastAPIDocker
AI Summary
The vacancy is strong in task clarity and requirements but lacks compensation details.
Check Match — Just drop your CV
See your fit for ML Engineer in seconds.
Description
Responsibilities
- •Lead ML projects end-to-end and collaborate with colleagues;
- •Fine-tune transformer models for our content classification tasks (intent, topic, monetization);
- •Build classic ML pipelines on tabular data: feature engineering, boosting, validation;
- •Work with LLM through our gateway: write and iterate prompts, collect eval sets, measure quality;
- •Participate in A/B testing design;
- •Collaborate with SE to bring solutions to production.
Requirements
Requirements
- •3+ years of experience in ML/DS with real models in production, not just in notebooks, experience supporting the full lifecycle of models, including monitoring and regular updates;
- •Proficient in Python: OOP, testing, typing;
- •SQL at a level to independently retrieve data for features and analysis;
- •Git and basic understanding of CI/CD;
- •Experience with FastAPI and Docker;
- •Experience with neural network models, especially for text data: at least fine-tuned BERT-like transformers for your tasks, ideally understand how algorithms work internally and can optimize or modify them if necessary;
- •Strong knowledge of classical ML: understanding of main model families and their applicability limits, validation principles, feature engineering, and key metrics for different task classes;
- •Experience with LLM API: writing prompts, collecting few-shot examples, measuring quality on eval sets, using LLM-as-a-Judge;
- •Understanding of A/B testing — design is covered by analysts, but you should be able to communicate with them effectively.
Loading similar jobs...