Especialista em Machine Learning Engineering - MLOps | Data Science
Core
Lead the MLOps pipeline and ensure production model quality, acting as a technical multiplier to enable the Data Science team to scale with governance.
Role type
Senior MLOps/ML Engineering Specialist
Builds
Scalable ML pipelines, production model infrastructure, and governance standards for the Data Science area
Domain
Financial Services / Machine Learning Engineering
Deliverable
production ML models
Required skills
MLOps, Databricks (Spark, Delta Lake, MLflow, Unity Catalog, Feature Store), Python, PySpark, CI/CD, Azure, Docker, Kubernetes (AKS), Model Explainability (SHAP, LIME), Statistical Modeling
Preferred skills
Generative AI (LLMs, RAG, fine-tuning), Azure AI Foundry, Observability tools (LangSmith, Ragas), Feature Stores (Feast, Tecton), IaC (Terraform, Bicep), Streaming (Kafka, Event Hubs), GPU optimization
Responsibilities
Own the end-to-end construction and operation of the MLOps pipeline; Guard model quality and production standards; Design and maintain modular, versioned ML pipelines; Mentor technical professionals; Operate cloud ML infrastructure; Act as a bridge between technical areas
Seniority
Senior, hands-on IC with mentorship