Senior Machine Learning Engineer (AWS)

TL;DR

Senior Machine Learning Engineer (AWS): Designing and documenting machine learning solutions on the AWS cloud for customers with an accent on model training, inference, and MLOps. Focus on implementing ML models, big data processing, and preparing training data for real-world applications.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a cloud native services company that helps organizations optimize their people and technology using Amazon Web Services (AWS).

What you will do

• Design and document machine learning solutions on the AWS cloud to align business goals with technical implementation.
• Develop and implement ML models, MLOps pipelines, and analytics.
• Perform big data processing and prepare training data for models.
• Collaborate within a cross-functional delivery team using daily stand-ups and bi-weekly agile ceremonies.
• Work closely with architects to transform designed solutions into functional ML systems.

Requirements

• Strong experience building ML models for real-world applications.
• Proficiency in AWS ML Services/SageMaker or libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with MLOps tools like MLflow, Kubeflow, and Airflow, or advanced analytics using time series forecasting.
• Strong skills in big data platforms (Spark, Hadoop) and data cleansing using Python/Pandas, PySpark, Scala, or SQL.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Amazon CDK.
• Must be based in Brazil; the company is unable to provide visa sponsorship.

Culture & Benefits

• 100% remote work environment.
• Generous holidays and flexible PTO.
• Paid certifications and exams, plus an annual Learning and Development stipend.
• Equipment and office stipend, including a state-of-the-art laptop.
• Individual professional development plans and peer bonus awards.