Berkley Technology Services ยท 18 hours ago
Principal Engineer - AI Platform
Wilmington, DE
Full-time
Hybrid
Lead/Staff
10+ years expBerkley Technology Services (BTS) is a dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications.
Information TechnologyProject ManagementSoftware
Responsibilities
Design and develop scalable AI platforms to support various machine learning and deep learning models
Collaborate with data scientists to understand model requirements and optimize infrastructure accordingly
Implement and maintain data pipelines, model deployment strategies, and monitoring systems
Ensure high availability and reliability of AI services through effective troubleshooting and performance tuning
Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and small/secure web front ends
Design and implement database schemas and queries for relational, NoSQL and Graph databases
Integrate with third-party services, including Kafka, Entra ID
Collaborate with the frontend team to integrate frontend and backend systems seamlessly
Ensure the scalability, reliability, and security of backend systems
Troubleshoot and debug issues as they arise
Write optimized code and provide innovative solutions to complex problems
Stay updated with industry trends and emerging technologies
Stay current with the latest advancements in AI and machine learning technologies and incorporate them into the platform
Automate repetitive tasks and improve platform efficiency through scripting and configuration management tools
Provide technical guidance and support to other teams regarding AI platform usage and best practices
Document platform architecture, workflows, and procedures for future reference and scalability
Qualification
Required
10+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives
Proven experience in building and maintaining AI or machine learning platforms
Strong knowledge of programming languages such as Python, R, and/or Java
Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
Experience in optimizing code and Infrastructure for large data set manipulation
Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB
Excellent knowledge of modern Vector and Graph databases
Excellent knowledge of Redis cache or other similar solutions
Experience with version control systems like Git and GitLab and Agile development methodologies
Excellent understanding NLP, and AI/ML design and implementation concepts
Excellent understanding of REST APIs, API Gateways and SPAs
Excellent problem-solving skills and ability to work in a fast-paced environment
Strong communication and collaboration skills
Excellent knowledge of data storage solutions and database management systems
Proficiency in object-relational mapping (ORM), advanced algorithms, data structures, object-oriented and functional design principles, and best-practice patterns
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc.)
Experience with Master Data Management (MDM) systems and processes
Experience with Data Loss Prevention (DLP), encryption/redaction strategies, etc. for protecting PII/sensitive data
Good understanding of Processor architecture and ability to work with providers to map use cases to appropriate platforms
Bachelors Degree in Computer Science, Information Technology, Information Systems, or a related discipline. Equivalent experience and/or alternative qualifications will be considered
10%-20% of Travel Required
Preferred
Advanced degree in computer science, data science, AI, or related field
Experience with big data technologies (Hadoop, Spark)
Experience with reinforcement learning, generative AI, or autonomous systems
Knowledge of MLOps practices and tools
Knowledge of insurance-specific AI applications
Hands-on experience working with AI/ML as a Data Scientist
Experience in deploying machine learning models in production environments
Understanding of distributed systems and microservices architecture
Company
Berkley Technology Services
Berkley Technology Services offers networking, software development, UI/UX design, project management and IT shared services.
201-500 employees
H1B Sponsorship
Berkley Technology Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (5)
2023 (5)
2022 (12)
2021 (6)
2020 (3)
Funding
Current Stage
Growth StageLeadership Team
Evan Krueger
Software Engineer CoOp
Jennifer Mignone, SHRM-CP
Senior Human Resources Business Partner
Company data provided by crunchbase