[Job-31614] Senior Machine Learning Engineer, Brazil
Core
Lead the development, industrialization, and evolution of Machine Learning products at an enterprise scale, ensuring solutions are governed, observable, and reproducible throughout their lifecycle.
Role type
Senior Machine Learning Engineer (MLOps & Production)
Builds
Scalable ML solutions, MLOps platforms, and data pipelines for large enterprises
Domain
Enterprise Data & AI, MLOps, Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps, Feature Engineering, Distributed Processing, Model Monitoring, CI/CD, Infrastructure as Code, Python, PySpark, SQL, Model Registry management, Data Drift detection, Spark workload optimization
Preferred skills
GenAI, LLMOps, RAG architectures, Databricks certifications
Technologies
Databricks, MLflow, Unity Catalog, Delta Lake, Databricks Workflows, Model Registry, Databricks Asset Bundles (DABs), PySpark, Azure DevOps
Responsibilities
Lead MLOps initiatives including model training, deployment, serving, and lifecycle governance; Develop and maintain ETL/ELT pipelines and ML workflows using PySpark; Design and manage enterprise Feature Stores; Implement model versioning, Champion/Challenger approaches, and rollouts; Ensure observability, quality, and traceability across data and models; Design CI/CD processes and IaC for ML platforms; Conduct technical code reviews and support Data Scientists in industrializing ML solutions
Seniority
Senior, hands-on IC