aws codepipeline

Senior DevOps Engineer - (Remote - Brazil / Argentina / Mexico)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior DevOps Engineer in Brazil / Argentina / Mexico.

As a Senior DevOps Engineer, you will be instrumental in designing, implementing, and maintaining robust cloud infrastructure with a focus on AWS, especially on Elastic Kubernetes Service (EKS). This role requires hands-on expertise in managing scalable and efficient systems, automating processes, and improving CI/CD pipelines. Working closely with developers, you'll ensure that infrastructure supports seamless and reliable software delivery. If you're passionate about performance at scale and thrive in dynamic, fast-paced environments, this role offers a chance to make a significant impact.

Accountabilities:

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MLOps Engineer(NJ)

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • ML Engineer with 5-7 years of IT experience.
  • Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
  • Develop Airflow DAGs to run training and scoring pipelines
  • Develop a Testing framework with Pytest
  • Implement monitoring solution with homebrew solution using Lambda and Dash
  • Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

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