Jobs · Engineering · Georgia

Machine Learning Operations Engineer II

CLA (CliftonLarsonAllen) · Atlanta, GA · 2 wk ago
EngineeringFull-time

About the role

This position offers growth, flexibility and a collaborative work environment. We're looking for a motivated and curious Machine Learning Operation Engineer to join our Data Science Team.

Responsibilities

  • Aid in the design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
  • Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
  • Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
  • Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
  • Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
  • Support maintenance of documentation for MLOps processes and systems.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
  • Ensure compliance with data security and privacy regulations.
  • Stay up to date with industry trends and advancements in machine learning and MLOps.

Requirements

  • 2+ years' experience as a Data/ML Engineer
  • Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

Qualifications

  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Basic understanding of SQL and experience with ETL pipeline design and maintenance.
  • Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
  • Proficiency in programming languages such as Python.
  • Knowledge of data pipeline architecture and data transformation.
  • Knowledge of machine learning model deployment and management.
  • Familiarity with performance monitoring and optimization techniques.
  • Basic understanding of machine learning and DevOps principles.

Benefits

Wellness at CLA To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more. To view a complete list of benefits, click here.

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