CliftonLarsonAllen

Machine Learning Operations Engineer II

CliftonLarsonAllen$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of experience as a Data/ML Engineer.
  • Bachelor's degree required; relevant experience can substitute for education.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Basic understanding of SQL and ETL pipeline design.
  • Experience with CI/CD tools like Jenkins and Git.
  • Proficiency in Python programming.
  • Knowledge of data pipeline architecture and machine learning model management.

Responsibilities

  • Assist in designing and developing MLOps infrastructure for model deployment.
  • Collaborate with data scientists and engineers for process integration.
  • Maintain automated workflows for efficient model deployment.
  • Troubleshoot issues related to model performance and data pipelines.
  • Ensure security and scalability of MLOps infrastructure.
  • Maintain documentation for MLOps processes and systems.
  • Collaborate with cross-functional teams to translate business needs into tech requirements.
  • Stay updated on trends in machine learning and MLOps.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • 401(k) retirement plan option.
  • Focus on physical, financial, social, and emotional well-being.
  • Supportive, collaborative work environment for continued learning.
Full Job Description
CLA is growing and seeking to hire an experienced Machine Learning Operation Engineer: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. This is an opportunity to learn, build, and grow alongside experienced developers in a supportive, collaborative environment.

How you'll create opportunities in this role:
• Assist with 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.

Technologies You'll Use
  • 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.


What you will need:
  • 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.


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.

About CliftonLarsonAllen

CliftonLarsonAllen (CLA) is a professional services firm that provides audit, tax, and advisory services to clients in a variety of industries. The firm was formed in 2012 through the merger of Clifton Gunderson and LarsonAllen, and has since grown to become one of the largest accounting firms in the United States. CLA has over 6,000 employees and serves clients in all 50 states. The firm is committed to providing exceptional service to its clients and helping them achieve their goals.
Learn more about CliftonLarsonAllen
Size
6,000 employees
Industry
Founded
1960

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