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Machine Learning Operations Engineer II

Machine Learning Operations Engineer II
FM Global
6 months 1 week ago

FM Global Overview

FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research, risk management skills, and support services, tailored risk transfer capabilities, and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

Job Opportunity

FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts, and Solution Architecture teams. As a part of our dynamic team, you will be an Azure AI/ML Ops Engineer focused on building a robust data platform and pipelines that enable advanced analytics. This role offers the unique opportunity to develop AI/ML-based applications that have a meaningful impact on our customers.

  • Develop platform tooling
  • Deploy data science models to production
  • Monitor production performance

Role Overview

As a Machine Learning Operations Data Engineer II, you will be responsible for Machine Learning Operations outcomes:

  • Velocity of Model Deployments
  • Validation of Model Deployed Code and Versioning of Data, Model, and Infrastructure

Requirements

  • Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science
  • Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc…), MLFlow, Experimentation, Tracking, Productionizing and proficient in SQL
  • Three or more years of professional experience in MLOps, Data Engineering, software engineering, or a related field
  • Infrastructure Operations: Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well). A solid understanding of modern security and networking principles and standards. Knowledge of best practices in software engineering is necessary

Qualifications

  • Education Qualifications: A foundational knowledge of Data Science is strongly preferred. Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Data Science, and/or related quantitative degree is preferred from an accredited institution

Career Development

Candidates may also qualify to be considered for Machine Learning Data Engineer III. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.

Benefits

The position is eligible to participate in FM Global’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances, and much more.

Equal Opportunity

FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

Expertise level

Work arrangement

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