Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
Senior Machine Learning Engineer
November 7
🗣️🇧🇷🇵🇹 Portuguese Required
Runtalent
B2B • HR Tech • SaaS
Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.
501 - 1000 employees
Founded 2003
🤝 B2B
👥 HR Tech
☁️ SaaS
📋 Description
• Design and implement data validation and model evaluation pipelines in a cloud environment (AWS). • Integrate data and evaluation metrics into an automated, auditable workflow. • Modularize the pipeline to facilitate reuse, testing, and maintenance. • Collaborate with Data Science, Data Engineering, and Product teams. • Ensure best practices for versioning, logging, monitoring, and automated testing. • Propose continuous improvements to data architecture and validation processes.
🎯 Requirements
• Strong experience in software engineering applied to data and machine learning. • Proficiency in Python and frameworks such as PySpark, Pandas, Scikit-learn, or similar. • Experience with AWS tools and services such as S3, Lambda, Step Functions, Glue, Athena, SageMaker, or ECS. • Knowledge of MLOps and CI/CD for data and model pipelines. • Experience with workflow orchestration. • Ability to write clean, modular, and testable code. • Experience with infrastructure as code (Terraform, CloudFormation). • Participation in ML projects in production with a focus on reliability and traceability.
🏖️ Benefits
• Remote work • Indefinite-term (permanent) position • Strong experience in software engineering applied to data and machine learning • Proficiency in Python and frameworks such as PySpark, Pandas, Scikit-learn, or similar. • Experience with AWS tools and services such as S3, Lambda, Step Functions, Glue, Athena, SageMaker, or ECS. • Knowledge of MLOps and CI/CD for data and model pipelines. • Experience with workflow orchestration. • Ability to write clean, modular, and testable code.
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