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[Job-31614] Senior Machine Learning Engineer, Brazil

3 hours, 48 minutes ago
Brazil
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Apache Spark Azure CI/CD Databricks Feature Engineering Generative AI Machine Learning MLflow MLOps Python SQL
Apply Now
CI&T

CI&T

CI&T is a global digital technology agency empowering agile growth for leading companies through advanced technologies with a team of 2000 experts worldwide.

Internet Software & Services
5K-10K
Founded 1995
View All Jobs 169

Description

  • Lead MLOps initiatives covering model training, deployment, serving, monitoring, and lifecycle governance.
  • Develop and maintain ETL/ELT pipelines, DAGs, and data and machine learning workflows using PySpark.
  • Design and manage enterprise Feature Stores with versioning, lineage, and training-inference consistency.
  • Develop, validate, and operationalize machine learning models for analytical use cases.
  • Implement model versioning, Champion/Challenger strategies, rollouts, promotions, and Model Registry management.
  • Ensure observability, quality, traceability, reproducibility, and governance across data, features, pipelines, and models.
  • Design and implement CI/CD processes and Infrastructure as Code for machine learning platforms.
  • Define architectural standards, engineering practices, and MLOps guidelines.
  • Conduct code reviews, support Data Scientists with industrialization, and maintain technical and operational documentation.

Requirements

  • Advanced experience with Databricks, including MLflow, Unity Catalog, Delta Lake, Databricks Workflows, Model Registry, Model Serving, and Databricks Asset Bundles.
  • Strong experience developing, deploying, and monitoring machine learning models in production.
  • Experience with feature engineering, hyperparameter optimization, model evaluation, and supervised and unsupervised learning.
  • Experience with enterprise Feature Stores, feature versioning, and point-in-time lookups.
  • Knowledge of data drift, concept drift, performance drift, and ML pipeline observability.
  • Experience building CI/CD pipelines, managing DEV, QA, and PROD environments, and implementing Infrastructure as Code.
  • Experience with automated testing for data and machine learning pipelines.
  • Experience with distributed processing and Spark workload optimization.
  • Strong proficiency in Python, PySpark, SQL, MLflow, Spark MLlib, and machine learning libraries.
  • Knowledge of secure credentials and secrets management, such as Service Principals or Key Vault.
  • Experience with Azure DevOps or equivalent tools.
  • Intermediate English and ability to collaborate with global teams and write technical documentation in English.
  • Databricks Certified Machine Learning Professional certification is highly desirable; Data Engineer Professional certification is a plus.
  • Experience with GenAI, LLMOps, and RAG architectures is a plus.

Benefits

  • Health and dental insurance, life insurance, and meal and food allowances.
  • Childcare assistance and extended paternity leave.
  • Profit Sharing and Results Participation (PLR).
  • Gym, wellness, physical health, and mental well-being programs.
  • Continuous learning through CI&T University, online learning partnerships, and language-learning platforms.
  • Pregnancy and responsible parenting course.
  • Discount club and additional employee partnerships.
  • Dedicated health and well-being team, inclusion specialists, affinity groups, and support for workplace accommodations.

Interested in this position?

Apply directly on the company website

Apply Now

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