Senior ML Engineer - Sao Paulo
LATAM - Sao Paulo; S\xc3\xa3o Paulo
A USD 100K-100K Senior-level Full Time
Tasks
- Build train validate and deploy machine learning models
- Define success metrics and measurable impact
- Design and maintain ETL and ELT pipelines
- Develop data products and APIs for ML insights
- Establish logging alerts data lineage and documentation
- Implement MLOps best practices
- Implement production monitoring and observability
- Integrate machine learning systems with REST APIs
- Manage feature stores and metadata
- Mentor engineers and data scientists in ML operations
- Optimize system performance cost efficiency and scalability
- Package and orchestrate model workflows
- Set up CI CD for ML deployments
Perks/Benefits
- N/A
Skills/Tech-stack
BigQuery | CI/CD | Cost Optimization | DBT | Data Lineage | Data Validation | Databricks | Docker | ELT | ETL | Feature Store | Kubernetes | Latency optimization | Logging | MLOps | Metadata Management | Monitoring | NLTK | Observability | Prompt engineering | PyTorch | Python | RAG | REST | REST API | SQL | Scikit-learn | Serverless | Snowflake | Spacy | Testing | Transformers | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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