Senior Machine Learning Engineer
Tasks
- Build feature engineering pipelines
- Deploy and maintain machine learning models
- Design machine learning models at scale
- Develop tools frameworks and libraries for ML products
- Make architectural and modeling decisions
- Own end-to-end machine learning delivery lifecycle
- Perform data exploration
- Provide technical mentorship
- Select tune and evaluate models
- Support AI and ML community learning and experimentation
Perks/Benefits
- Extra festive time off
- Family-friendly benefits
- Personal learning budgets
- Private healthcare dental insurance
- Regular learning days
- Work-from-abroad policy
Skills/Tech-stack
CI/CD | Classification | DevOps | Docker | Feature Engineering | Geographic Information Systems | Geographic information | Graph Databases | Information Systems | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Natural Language | Natural Language Processing | NumPy | Optimization | Pandas | Python | RAG | Recommendation Systems | Regression | Scikit-learn | Spark | Statistical modeling | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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