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Rumo logo
Rumo

Somos o Brasil em Movimento!

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 5,001-10,000Since 1997Company SiteLinkedIn

Location

Brazil

Posted

15 days ago

Salary

0

Seniority

Senior

Bachelor DegreeExperience acceptedPortuguesePythonPyTorchScikit-LearnSparkSQLTensorflow

Job Description

Machine Learning Engineer

Rumo

• Develop and maintain model training, validation and inference pipelines. • Design feature and data pipelines that support machine learning applications in production. • Convert models developed in exploratory environments into reproducible, scalable pipelines. • Integrate machine learning solutions into the organization’s data ecosystem. • Collaborate with engineering, DevOps and DataOps teams to evolve the platform and the organization’s machine learning practices. • Work closely with data scientists to operationalize analytical models. • Support the transition of models from exploratory environments to production pipelines. • Build pipelines that enable recurring training, updating and model evolution. • Ensure models can run at scale and meet performance requirements for operational use. • Prepare, structure and transform the data required for model training and execution. • Develop data pipelines and feature engineering focused on machine learning applications. • Work with data engineering to ensure the availability and quality of the data used by models. • Implement monitoring mechanisms for model performance, stability and behavior in production. • Support the identification of model degradation and the need for retraining. • Contribute to the continuous improvement of machine learning solutions in production. • Ensure software development best practices are applied to machine learning solutions. • Use code versioning, code review and engineering practices for developing ML pipelines. • Contribute to the standardization and evolution of the area’s machine learning engineering practices.

Job Requirements

  • Experience developing in Python for data and machine learning applications.
  • Experience designing data pipelines and machine learning pipelines.
  • Experience with data manipulation and processing using SQL and distributed environments (e.g., Spark).
  • Experience with code versioning and software engineering best practices (Git).
  • Experience operationalizing machine learning models in production environments.
  • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch or similar).
  • Experience integrating analytical solutions with data pipelines or applications.

Benefits

  • Food allowance
  • Meal voucher
  • Transportation voucher
  • Profit-sharing program (PPR)
  • Railway safety bonus
  • Private pension plan
  • Credit union
  • Payroll-deductible loan
  • Wellhub
  • Health insurance
  • Dental plan
  • Surgical instrumentation
  • Pharmacy assistance
  • Life insurance
  • Funeral assistance
  • Support program from pregnancy through postpartum
  • Extended parental leave
  • School supplies
  • Childcare assistance
  • Christmas toy
  • Christmas gift kit
  • Psychological, legal and financial assistance program
  • Benefits and discounts club
  • Corporate university

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