Senior Machine Learning Engineer
Tasks
- Build LLM based data processing systems
- Build ML NLP solutions for generation search and assistants
- Collaborate with product managers, engineers, and analysts
- Contribute to ML architecture
- Design ML and AI modules
- Evaluate AI system quality and failure cases
- Evaluate ML and AI approaches
- Implement ML and AI modules
- Implement MLOps with CI CD monitoring logging and containerization
- Improve prompts data and system architecture
- Integrate ML solutions into production
- Interpret model behavior and metrics
- Monitor and improve model performance
- Prepare and process data
- Run A/B tests and analyze results
- Train machine learning models
Perks/Benefits
- Flexible working hours
- Hybrid work format
- Learning and mentorship
- Performance-based bonuses
- Private health insurance
- Relocation support
- TradingView Premium access
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | CI/CD | Docker | Go | Grafana | Kubeflow | Kubernetes | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Natural Language | Natural Language Processing | Prometheus | Python
Education
N/A
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