High-Performance AI Engineer for Insurance Business Transformation
7 days ago
Company Overview
GEICO is a leading insurance company seeking experienced engineers to drive its business transformation using Artificial Intelligence and Machine Learning.
Salary Range
$105,000.00 - $215,000.00 per annum, depending on qualifications and experience.
Job Description
The Senior Machine Learning Engineer will lead the strategy and execution of the technical roadmap of the document intelligence sub-area of the entire document management platform.
Key Responsibilities
- Build and operate machine learning models for document management domain.
- Collaborate with product managers, engineering team members, and customers to solve complex problems.
- Leverage open-source frameworks and cloud native development paradigm.
- Mentor and coach engineering and product community.
- Promote engineering excellence and improve processes.
Required Skills and Qualifications
Fluency in Modern Programming Languages
Fluency in at least two modern languages such as Java, Golang, Python, or C# including object-oriented design.
Data Intensive Systems Experience
Working knowledge and experience of building data intensive large-scale systems with focus on fault-tolerance and throughput.
AI/ML Expertise
Extensive knowledge and experience in AI/ML models, algorithms, and MLOps best practices.
Enterprise-Grade AI/ML Products
Expertise in building enterprise-grade AI/ML products at scale.
Document Intelligence Development
Experience in Document Intelligence related product development.
Micro-Services Oriented Architecture
Experience building products of micro-services oriented architecture and extensible REST APIs.
DevOps Concepts
Fluency in DevOps concepts and best practices in CI/CD pipelines and infrastructure as a code.
Benefits
- Premier Medical, Dental, and Vision Insurance.
- Paid Vacation, Sick, and Parental Leave.
- 401(k) Plan.
- Tuition Reimbursement.
- Paid Training and Licensures.
EEO Policy
The GEICO Companies provide a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information.
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