Staff Engineer - AI Platform
W. R. Berkley Corporation3 days ago
Indianapolis, IN, USAStaff+
Responsibilities
- Design and develop scalable AI platforms for machine learning and deep learning models.
- Collaborate with data scientists to understand model requirements and optimize infrastructure.
- Implement and maintain data pipelines, model deployment strategies, monitoring systems, and AI services.
- Develop backend systems, REST APIs, secure web front ends, database schemas, and queries.
- Integrate third-party services and coordinate frontend and backend integration.
- Ensure backend scalability, reliability, security, and high availability through troubleshooting and performance tuning.
- Write optimized code, automate repetitive tasks, and improve platform efficiency with scripting and configuration management tools.
- Provide technical guidance on AI platform usage and best practices.
- Document platform architecture, workflows, and procedures.
- Lead multiple large-scale data-domain or cross-domain engineering initiatives.
Requirements
- 10+ years of progressive engineering experience developing and engineering solutions and leading large-scale initiatives.
- Proven experience building and maintaining AI or machine learning platforms.
- Strong knowledge of Python, R, and/or Java.
- Experience with AWS or Azure and Docker or Kubernetes.
- Experience optimizing code and infrastructure for large datasets.
- Knowledge of relational, NoSQL, vector, and graph databases, including the listed database technologies.
- Experience with Git, GitLab, REST APIs, API gateways, SPAs, ORM, algorithms, data structures, and software design principles.
- Experience with TensorFlow, PyTorch, and Scikit-learn.
- Experience working with structured and unstructured data in cloud-based environments and technologies such as Redshift, Databricks, Hadoop, Snowflake, and Spark.
- Experience with Kafka, master data management, data loss prevention, encryption, and redaction strategies.
- Understanding of NLP, AI/ML design and implementation, processor architecture, data storage, and database management.
- Demonstrated professional use of AI-assisted tools.
- Bachelor’s degree in computer science, information technology, information systems, or a related discipline, or equivalent experience and/or alternative qualifications.
- Preferred: advanced degree in computer science, data science, AI, or a related field.
- Preferred: experience with reinforcement learning, generative AI, autonomous systems, MLOps, insurance AI applications, production model deployment, distributed systems, microservices, or hands-on AI/ML data science.
Benefits
- 10%-20% travel is required.
- Equal employment opportunity employer.
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.