Principal Engineer - AI Platform
W. R. Berkley Corporationover 1 year ago
Wilmington, DE, USAStaff+
Responsibilities
- Design and develop scalable AI platforms supporting machine learning and deep learning models.
- Collaborate with data scientists to define model infrastructure requirements and optimize platform performance.
- Implement and maintain data pipelines, model deployment strategies, monitoring systems, and high-availability AI services.
- Develop backend systems, REST APIs, and small secure web front ends using Python, R, and/or Java.
- Design database schemas and queries across relational, NoSQL, vector, and graph databases.
- Integrate third-party services including Kafka and Entra ID and coordinate frontend/backend integration.
- Troubleshoot, debug, tune performance, and ensure the scalability, reliability, and security of backend systems.
- Automate repetitive tasks using scripting and configuration management tools.
- Provide technical guidance to teams on AI platform usage and best practices.
- Document platform architecture, workflows, and procedures and stay current with AI and machine learning advancements.
- Lead multiple large-scale data-domain or cross-domain engineering initiatives.
Requirements
- 10+ years of progressive engineering experience developing solutions and leading large-scale data-domain or cross-domain engineering initiatives.
- Proven experience building and maintaining AI or machine learning platforms.
- Strong programming experience with Python, R, and/or Java.
- Experience with AWS or Azure and containerization technologies such as Docker and Kubernetes.
- Experience optimizing code and infrastructure for large datasets.
- Strong knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, CosmosDB, modern vector and graph databases, and Redis or similar caching solutions.
- Experience with Git, GitLab, machine learning frameworks, cloud-based data environments, and production model deployment.
- Knowledge of NLP, AI/ML design and implementation, REST APIs, API gateways, SPAs, data storage, database management, ORM, algorithms, data structures, and software design principles.
- Experience with TensorFlow, PyTorch, or Scikit-learn.
- Experience with structured and unstructured data and technologies such as Redshift, Databricks, Hadoop, Snowflake, Spark, or Kafka.
- Experience with Master Data Management, Data Loss Prevention, encryption or redaction strategies, and protection of sensitive data.
- Understanding of processor architecture and the ability to map use cases to appropriate platforms.
- Bachelor's degree in computer science, information technology, information systems, or a related discipline, with equivalent experience or alternative qualifications considered.
- Preferred qualifications include an advanced degree, big data and MLOps experience, reinforcement learning, generative AI, autonomous systems, insurance AI applications, data science experience, distributed systems, and microservices architecture.
- Strong problem-solving, communication, and collaboration skills.
Benefits
- 10%-20% travel is required.
- The company provides equal employment opportunities.
Tech Stack
Amazon RedshiftApache HadoopApache KafkaApache SparkAWSAzureDatabricksDockerGitJavaKubernetesMicrosoft SQL ServerMongoDBMySQLPostgreSQLPythonPyTorchRRedisscikit-learnSnowflakeTensorFlow
Categories
About W. R. Berkley Corporation
W. R. Berkley Corporation is a public insurance holding company that sells commercial property‑casualty coverage and insurance‑related services to businesses. Its operating units focus on primary insurance, reinsurance, and monoline excess products tailored to industry niches and regional markets. Founded in 1967 and headquartered in Greenwich, Connecticut, the company trades on the NYSE (WRB) and operates worldwide; subsidiaries include Berkley Technology Services, which supports core systems for its insurance businesses.