Artificial Intelligence Data Engineer
EverestAbout the role
Title:
Artificial Intelligence Data EngineerCompany:
Everest Global Services, Inc.Job Category:
TechnologyJob Description:
About Everest:
Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.
About the Role:
We are looking for a talented and driven Data Engineer to support the build-out of our AI team. In this role, you will be instrumental in developing and maintaining the data infrastructure necessary for our AI initiatives. You will work closely with data scientists and AI engineers to ensure that our data pipelines are robust, scalable, and optimized for AI model development and deployment. This is a unique opportunity to contribute to cutting-edge AI projects and make a significant impact on our data-driven strategies.
Key Responsibilities
Develop and Maintain Data Infrastructure: Design, build, and maintain scalable data infrastructure to support AI models and other data-driven applications.
Data Ingestion and Transformation: Implement efficient data ingestion and transformation processes to ensure high-quality, accessible data for AI models.
Data Storage Management: Optimize data storage solutions to handle large volumes of data efficiently and securely.
Scalability and Reliability: Ensure data pipelines are scalable and reliable, capable of handling increasing data loads and complex AI requirements.
Collaboration with AI Team: Work closely with data scientists, AI engineers, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
Performance Optimization: Continuously monitor and optimize data pipelines for performance, cost-efficiency, and alignment with AI model needs.
Documentation and Best Practices: Maintain comprehensive documentation of data processes and adhere to best practices in data engineering and AI integration.
Required Skills
SQL: Proficiency in SQL for querying and managing relational databases.
Python: Strong programming skills in Python for data manipulation, automation, and integration with AI frameworks.
ETL Pipelines: Experience in designing and implementing ETL (Extract, Transform, Load) pipelines tailored for AI data workflows. Building pipelines is a plus
Cloud Platforms: Familiarity with cloud platforms such as Azure, or Google Cloud for data storage, processing, and AI model deployment. Databricks experience is a plus
Big Data Technologies: Knowledge of big data technologies like Apache Spark and Hadoop for handling large datasets and supporting AI model training.
AI Data Engineeri
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