MLOps Quality Engineer

2 weeks ago

Pittsburgh, United States Mastech Digital Full time

Mastech Digital Inc. is a (certified) Minority owned business certified by NMSDC. Public traded firm under MHH at NYSE, Established in 1986. Headquartered in Pittsburgh, PA our operations are spread across 11 Global Recruiting & Sales offices across US.

Role: Quality Engineer

Location: Pittsburgh PA/Cleveland OH

Duration: Full Time

Employment Type: Hybrid (3 days per week)

Job Description:

  • Hands on Quality Engineering experience in developing and executing test strategies for AWS Sagemaker, data / code pipeline integrations, with a focus on machine learning operations.
  • In depth knowledge of MLOps best practices, especially around ML / model testing and deployment.
  • Ability to take a project from scoping the requirements and building the test cases.
  • Experience in automating testing of AI/ML models and evaluation of the model/data quality and statistical properties.
  • Ability to analyze results from the test set and create defects based on result patterns.
  • Work with developers to design specific testing strategies for features being developed and automate them.
  • Business context and experience within Fraud, AML modeling ecosystems and related model scenarios a major plus
  • Proficiency in programming languages such as Java, Python, knowledge of machine learning frameworks and familiarity with tools (Jenkins/GIT/Bitbucket) for continuous integration and deployment (CI/CD) and automated testing tools such as selenium, Cucumber, Karate
  • On hands testing experience in Big Data/Hadoop preferred.
  • Good exposure to using Anaconda, Jupyter notebook preferred.
  • Proficiency in data analysis using complex SQL joins.

Quality Assurance Expertise:

  • Strong understanding of quality assurance principles and methodologies, including testing strategies for machine learning models and data pipelines.
  • Hands on experience on Test managers such as Jira- Jira Xray
  • Bachelors in computer science / computer engineering or related subjects with 4+ years of work experience.
  • Relevant AWS/ Cloud Computing/ ML certifications preferred.

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