Demo

Machine Learning Modeling Engineer

Apex Systems
Allen, VA Full Time
POSTED ON 3/8/2025
AVAILABLE BEFORE 5/8/2025

Job Details

Job#: 2066084

Job Description:

Location: Remote or Richmond, VA

Job Description:

Position Overview: We are looking for a Machine Learning Data Engineer with a strong software engineering background and experience in building and understanding predictive models. The ideal candidate will have experience in the P&C insurance industry and be proficient in SQL, Azure, and Databricks. Experience with Generalized Linear Models (GLM) is a plus.

Key Responsibilities:
  • Develop and implement machine learning models and data solutions to support our insurance operations.
  • Collaborate with data scientists, software engineers, and other stakeholders to ensure successful deployment of models.
  • Manage and process data in cloud environments, particularly using Azure services.
  • Utilize Databricks for data processing and model deployment.
  • Develop and maintain data pipelines and data integration solutions.
  • Ensure the scalability and reliability of machine learning solutions.
  • Apply GLM techniques to enhance predictive modeling and pricing strategies.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong software engineering background with proficiency in programming languages such as Python, Java, or C .
  • Solid understanding of machine learning concepts and experience in building and deploying models.
  • Extensive experience with SQL and data manipulation.
  • Hands-on experience with Azure services, including Azure Data Factory.
  • Proficiency in Databricks for data engineering and model deployment.
  • Knowledge of various databases and their implementation in cloud environments.
  • Experience in the Property & Casualty (P&C) insurance industry is highly preferred.
  • Experience with Generalized Linear Models (GLM) is a plus.

Technical Skills:
  • SQL
  • Azure (Azure Data Factory, other data-related services)
  • Databricks
  • Cloud Technologies (data storage and processing)
  • GLM (preferred)

Preferred Experience:
  • Previous experience in the Property & Casualty (P&C) insurance industry.
  • Experience with large-scale data processing and integration.
  • Strong problem-solving skills and the ability to work in a collaborative environment.


EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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