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Machine Learning Operations Engineer IICliftonLarsonAllen LLP • Atlanta, Georgia, United States
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Machine Learning Operations Engineer II

CliftonLarsonAllen LLP
  • US
    Atlanta, Georgia, United States
  • US
    Atlanta, Georgia, United States
Postuler Maintenant

À propos

CLA is a top 10 national professional services firm that serves clients in wealth advisory, digital, audit, tax, consulting, and outsourcing services. We are seeking an experienced Machine Learning Operation Engineer to join our Data Science Team and help build and maintain MLOps infrastructure that supports the deployment, management, and monitoring of machine learning models. Responsibilities
Assist with design and development of MLOps infrastructure to support deployment, management, and monitoring of machine learning models. 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 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. Technologies You’ll Use
Familiarity with cloud platforms such as AWS, Azure, or GCP. Basic understanding of SQL and experience with ETL pipeline design and maintenance. Knowledge of CI/CD concepts and experience with tools such as Jenkins, Git, or Perforce. Proficiency in 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. Qualifications
2+ years of experience as a Data Engineer or ML Engineer. Bachelor’s degree required; combination of relevant experience, education, and training may be accepted in lieu of a degree. CLA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law.
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  • Atlanta, Georgia, United States

Compétences linguistiques

  • English
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