1 day ago
San Diego, CA, USAMid Level / Senior
Base Salary
$106k - $189k/yr
Responsibilities
- Design, develop, and maintain scalable machine learning pipelines using AWS services.
- Build and manage deployment frameworks for real-time and batch machine learning inference.
- Develop Python-based tools and services for data processing, model packaging, and ML pipeline orchestration.
- Design and implement CI/CD pipelines and infrastructure components using infrastructure-as-code tools.
- Implement monitoring, logging, alerting, troubleshooting, and reliability improvements for production ML systems.
- Integrate machine learning models into enterprise applications and data platforms with data science and engineering teams.
- Lead AI/ML FinOps practices and optimize ML infrastructure usage, scalability, and costs.
- Ensure ML systems meet enterprise security, governance, and regulatory standards.
- Participate in architecture discussions, technical standards, code reviews, testing, deployment practices, and mentorship of junior engineers.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or an equivalent combination of education and experience.
- 3–5 years of experience in software engineering, DevOps, cloud engineering, or MLOps roles.
- Strong Python programming experience for automation, services, or data processing pipelines.
- Hands-on experience with AWS services including SageMaker, Lambda, Step Functions, S3, IAM, and CI/CD tools.
- Experience deploying machine learning models into production and maintaining automated deployment workflows.
- Experience with infrastructure-as-code tools such as CloudFormation, Terraform, or AWS CDK.
- Strong troubleshooting and problem-solving skills in distributed or cloud-based systems.
- Experience collaborating with data science, engineering, and business stakeholders.
- Preferred qualifications include Docker, ECS or EKS, ML observability tools, feature stores, data/model versioning platforms, AI/ML cost optimization, FinOps, AWS certifications, regulated-industry ML operations, and scalable ML platform experience.
Benefits
- Competitive benefits package with medical, dental, and vision plans.
- 401K retirement plan with company match.
- Bonus potential for all positions.
- Paid time off and paid holidays.
- Support for continued learning.
- Hybrid work arrangement indicated by the job posting.
- Professional office environment with standard office equipment and physical requirements including sitting, standing, walking, bending, and occasional additional hours.
About ICW Group
ICW Group is a privately held, San Diego–based group of property and casualty insurers specializing in workers’ compensation, catastrophe/earthquake coverage, and reinsurance. It distributes policies through independent agents and brokers and provides claim services, risk management, fraud investigation, and workplace safety programs for commercial policyholders. Founded in 1972, the group includes carriers such as Insurance Company of the West and serves employers nationwide.