<p>CLA is a top 10 national professional services firm where our 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.</p> <p>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.</p> <p>Our Perks:</p> <ul> <li>Flexible PTO (designed to offer flexible time away for you!) </li><li>Up to 12 weeks paid parental leave </li><li>Paid Volunteer Time Off </li><li>Mental health coverage </li><li>Quarterly Wellness stipend </li><li>Fertility benefits </li><li>Complete list of benefits here </li></ul> <p>CLA is growing and seeking to hire an experienced Machine Learning Operation Engineer: this position offers growth, flexibility and a collaborative work environment.</p> <p>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.</p> <p>How you'll create opportunities in this role:</p> <ul> <li>Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm. </li><li>Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes. </li><li>Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring. </li><li>Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure. </li><li>Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models. </li><li>Support maintenance of documentation for MLOps processes and systems. </li><li>Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. </li><li>Ensure compliance with data security and privacy regulations. </li><li>Stay up to date with industry trends and advancements in machine learning and MLOps. </li></ul> <p>Technologies You'll Use</p> <ul> <li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP). </li><li>Basic understanding of SQL and experience with ETL pipeline design and maintenance. </li><li>Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc., </li><li>Proficiency in programming languages such as Python. </li><li>Knowledge of data pipeline architecture and data transformation. </li><li>Knowledge of machine learning model deployment and management. </li><li>Familiarity with performance monitoring and optimization techniques. </li><li>Basic understanding of machine learning and DevOps principles. </li></ul> <p>What you will need:</p> <ul> <li>2+ years' experience as a Data/ML Engineer </li><li>Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree. </li></ul> <p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</p> <p>Click here to learn about your hiring rights.</p> <p>Wellness at CLA</p> <p>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.</p> <p>To view a complete list of benefits click here.</p>