Machine Learning Engineer

CliftonLarsonAllen; Kansas City (MO); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Flexible PTO

Paid parental leave

Mental health coverage

Wellness stipend

Fertility benefits

Job summary

CLA, a top 10 national professional services firm, is hiring a Machine Learning Operations Engineer to join our Data Science Team in a collaborative environment. You will help design MLOps infrastructure for deployment, monitoring, and management of ML models, and collaborate with data scientists and engineers to integrate data science and engineering workflows.

You will also maintain automated pipelines, troubleshoot performance issues, and ensure security and scalability while keeping

Qualifications

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

Responsibilities

• Assist design and development of MLOps infrastructure for deployment, management, and monitoring of ML models.
• Collaborate with data scientists and engineers to integrate data science and engineering processes.
• Maintain automated workflows and pipelines for model deployment and monitoring.
• Troubleshoot issues with model performance, data pipelines, or infrastructure.
• Help ensure security and scalability of MLOps infrastructure for large data volumes and models.
• Maintain documentation for MLOps processes and systems.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Ensure compliance with data security and privacy regulations.
• Stay updated on industry trends in ML and MLOps.

Skills

Cloud platforms

SQL

CI/CD

Python

Data pipeline

ML model deployment

Performance monitoring

DevOps

Education

Bachelor's degree

Tools

Jenkins

Git

Perforce

Job description

CLA is a top 10 national professional services firm whereour purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

• Flexible PTO (designed to offer flexible time away for you!)
• Up to 12 weeks paid parental leave
• Mental health coverage
• Quarterly Wellness stipend
• Fertility benefits
• Complete list of benefits here

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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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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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