[Job - 29381] Senior Machine Learning Engineer, Brazil
Remote · Brazil or Campinas, São Paulo, Brazil
Job Summary
Experienced ML Engineer to design, implement, and optimize scalable production ML models in a modern environment; responsibilities include ML model development, MLOps production pipelines, feature engineering with DBT and PySpark, Airflow workflow orchestration, large-scale data processing with PySpark, cross-team collaboration with data scientists and product teams, monitoring and improving model performance, and maintaining clear technical documentation.
Required Qualifications
- Strong ML model development and deployment in production
- Proficiency in Python and ML/DL libraries (scikit-learn, TensorFlow, PyTorch, XGBoost)
- Experience with GenAI architectures (Amazon Bedrock or similar) and RAG pipelines
- Experience with vector databases (pgvector, OpenSearch, Pinecone)
- API and microservices design (FastAPI, API Gateway, ECS/EKS)
- PySpark for distributed data processing
- Advanced SQL and PostgreSQL
- Apache Airflow for DAG orchestration
- AWS Cloud services (SageMaker, S3, EC2, Lambda, ECR/ECS)
- Snowflake for storage and analytics
- DBT for data transformation
- Git and best development practices
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