Senior Machine Learning Engineer
Buenos Aires, Argentina
USD 179K-260K (estimate) Senior-level Full Time
Tasks
- Apply graph databases and knowledge graphs
- Build batch inference pipelines
- Build real time machine learning applications
- Design and implement machine learning systems
- Develop and deploy scalable fault-tolerant services
- Develop taxonomy and ontology structures
- Implement content understanding classification and tagging
- Improve machine learning performance using offline and online metrics
- Monitor machine-learning models in production
- Partner to define catalogs and taxonomies
- Streamline machine learning workflows
Perks/Benefits
- Commuting assistance
- Employee recognition programs
- Family planning support
- Financial assistance for hybrid work
- Flexible time off
- Health insurance
- Learning and development programs
- Mental health and wellness resources
- Parental leave
- Volunteering programs
Skills/Tech-stack
AWS | Databricks | Docker | Embeddings | Entity Resolution | FastAPI | Feature Engineering | GitHub | Graph Algorithms | Graph Databases | Information Retrieval | Knowledge graphs | Kubernetes | Low Latency | Machine Learning | Model Serving | Model Training | Monitoring | Personalization | Python | Recommendation Systems | Snowflake | Terraform
Education
N/A
Regions
Countries
States
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