[Job - 29381] Senior Machine Learning Engineer, Brazil
Tasks
- Build and manage Apache Airflow DAGs
- Build machine learning pipelines
- Create and optimize features
- Deploy machine learning models in production
- Develop machine learning models
- Document technical architecture and models
- Integrate ML solutions with APIs
- Maintain machine learning models in production
- Monitor model performance
- Orchestrate data and ML workflows
- Perform distributed data processing
- Process large scale data with PySpark
Perks/Benefits
- Childcare assistance
- Continuous learning platform
- Dental insurance
- Discount club
- Extended parental leave
- Gympass Wellhub Partnership
- Health insurance
- Language learning platform
- Life insurance
- Meal and food allowance
- Profit-sharing (PLR)
- Wellbeing platform
Skills/Tech-stack
A/B | A/B Testing | API Gateway | AWS Lambda | Amazon Bedrock | Amazon EC2 | Amazon S3 | Amazon SageMaker | Apache Airflow | Apache Kafka | B testing | Big Data | CI/CD | DBT | Deep learning | Docker | ECR | ECS | EKS | Experimentation | FastAPI | Feast | Feature Stores | Git | Kubeflow | Kubernetes | LLM APIs | MLflow | Machine Learning | Microservices | OpenSearch | PGVector | Pinecone | PostgreSQL | PySpark | PyTorch | Python | RAG | SQL | Scikit-learn | Snowflake | Spark Streaming | Tecton | TensorFlow | Vector Databases | XGBoost
Education
N/A
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