Senior Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or master's degree in Computer Science, Data Science, or related field., Strong experience in designing and maintaining data pipelines and ML applications., Proficiency with cloud services such as AWS, including SageMaker, Glue, and Lambda., Knowledge of MLOps practices, CI/CD, and monitoring for machine learning models..

Key responsibilities:

  • Design and build scalable data pipelines for AI/ML applications.
  • Deploy, monitor, and optimize machine learning models in production.
  • Implement MLOps best practices to automate the ML lifecycle.
  • Collaborate with a high-performing consulting team using modern cloud technologies.

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OpsBrasil Information Technology & Services SME https://www.opsbrasil.com/
11 - 50 Employees
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Job description

We are seeking a Senior Data Engineer AI Engineer to lead the design of scalable data pipelines and ensure the successful deployment of machine learning applications into production.

You will bridge data engineering and MLOps, working with modern cloudnative technologies in a globally recognized, highperforming consulting team.

What You’ll Do
  • Design, build, and maintain robust data pipelines and integrations for AIML applications

  • Deploy, monitor, and continuously optimize ML models — leveraging techniques like FewShot Learning (FSL) and RetrievalAugmented Generation (RAG)

  • Implement scalable, productiongrade solutions using AWS services (e.g., SageMaker, Glue, Lambda)

  • Apply MLOps best practices to automate and streamline the entire ML lifecycle (CICD, testing, monitoring)

    Required profile

    Experience

    Level of experience: Senior (5-10 years)
    Industry :
    Information Technology & Services
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

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