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.
Required Skills : All of the below skills are must have. Please send candidates with all the skills including the Property and Casualty insurance background. If they do not have P&C insurance background, they will be rejected. Property and Casualty insurance experience - modeling around P&C insurance. Machine Learning experience GenAI experience Python SQL Databricks Azure
Basic Qualification :
Additional Skills :
long-term contract
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :long-term contract
Project Verification Info :
Exclusive to Apex :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :