Senior ML Engineer - Sao Paulo
Core
Design, build, and scale intelligent data products and production-ready ML systems that transform large datasets into actionable insights for enterprise decision-making.
Role type
Senior Machine Learning Engineer (MLOps & Data Products)
Builds
Scalable ETL/ELT pipelines, production ML models, data products, and APIs
Domain
Financial analytics, risk modeling, and enterprise data infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, MLOps, CI/CD, containerization, cloud data platforms, NLP, model deployment, system observability, team mentoring
Preferred skills
Financial/risk modeling, vector databases, RAG pipelines, BI tools, data labeling platforms
Technologies
Databricks, Snowflake, BigQuery, dbt, scikit-learn, PyTorch, Transformers, spaCy, NLTK, K8s, LanceDB, Label Studio, Looker, Tableau, Power BI
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build, train, validate, and deploy ML models with automated workflows; Implement MLOps best practices including packaging, orchestration, and monitoring; Manage data structures, feature stores, and metadata; Develop data products and APIs; Optimize system performance and cost efficiency; Establish observability standards; Collaborate on success metrics; Mentor engineers and data scientists
Seniority
Senior, hands-on IC with mentorship responsibilities
