Senior Machine Learning Engineer

Location: Remote, Brazil

Company

CI&T delivers AI deployment, application modernization, Data & AI, Martech, and business strategy solutions for large enterprises.

What you will do

• Lead MLOps initiatives covering model training, deployment, serving, monitoring, and lifecycle governance.
• Develop ETL/ELT pipelines, DAGs, and data and machine learning workflows with PySpark.
• Design and manage enterprise feature stores with versioning, lineage, and consistent training and inference features.
• Develop, validate, and operationalize machine learning models for analytical use cases.
• Implement model versioning, Champion/Challenger rollouts, model promotion, and Model Registry processes.
• Define platform architecture and engineering standards, review code, support Data Scientists, and maintain technical documentation.

Requirements

• Advanced experience with Databricks, including MLflow, Unity Catalog, Delta Lake, Databricks Workflows, Model Registry, Model Serving, and Databricks Asset Bundles.
• Strong experience operating and monitoring machine learning models in production, including feature engineering, model evaluation, hyperparameter optimization, and supervised and unsupervised learning.
• Experience with enterprise feature stores, feature versioning, point-in-time lookups, data drift, concept drift, performance drift, and ML pipeline observability.
• Experience building CI/CD pipelines, managing DEV, QA, and PROD environments, implementing Infrastructure as Code, and automating tests for data and ML pipelines.
• Strong proficiency in Python, PySpark, SQL, MLflow, Spark MLlib, distributed processing, and Spark workload optimization.
• Intermediate English required for global collaboration and technical documentation.

Nice to have

• Databricks Certified Machine Learning Professional certification.
• Databricks Certified Data Engineer Professional certification.
• Experience with GenAI, LLMOps, and RAG architectures.

Culture & Benefits

• Work remotely from Brazil.
• Collaborate with global teams across more than 25 countries.
• Work on enterprise-scale AI and machine learning solutions.
• Benefits are provided as part of the CI&T employment package.

Hiring process

• Present an assessment during the selection process.
• Support is available for obtaining the assessment if needed.