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We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
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Responsibilities
Are you interested in working in Artificial and Machine Learning space? Do you want to help accelerate State Farm's data science capabilities? Are you willing to learn and develop yourself by working on cutting edge cloud technologies and solutions? This may be the opportunity for you!
AI/ML Engineering - AWS Model Platform Team is looking for a software developer that will help build a centralized AI/ML modeling platform on AWS. The centralized AI/ML modeling platform will be used by Data Scientists, Data Engineers and Machine learning engineers within the Enterprise to carry out data science and machine learning efforts on AWS.
The candidate is expected to perform the following responsibilities for the AI/ML Engineering - AWS Model Platform Team: Interact with Data Scientists, Data Engineers and Machine Learning Engineers to design and architect the platform, onboarding customers to the platform, develop platform capabilities and automations to support model lifecycle on AWS, implement platform integrations with AI/ML advanced capabilities like feature store, MLOps and platform support and enhancements.
Qualifications
Desired Skills:
Ability to provide architecture direction and strategy for solutions
Ability to create technical architecture and design for solutions
Ability to work in a changing, dynamic environment
Ability to be proactive and drive work in a timely manner
Good written and verbal communication skills
Strong software development skills
In-depth knowledge of at least one high-level programming language Python or PySpark
Developer experience in working with AWS services S3, Lambda, Athena, Glue Catalog, Lake Formation, IAM, AWS step functions
Experience working with AWS SageMaker service, endpoint creation, deployment using SageMaker Experience using Terraform (infrastructure as code)
Ability to use a CI/CD pipeline to deploy applications on AWS Proficiency in developing, deploying, and debugging cloud-based applications using AWS
Ability to write code using AWS security best practices
Understanding of the use of containers in the development process
Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
High level understanding of machine learning lifecycle, environments and platforms
Knowledge and workings of the machine learning operations process
Strong written and verbal communication skills
For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.
For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
For Colorado candidates:
Salary Range: $84,620.00-$135,400.00
Competitive Benefits, including: 401k Plan Health Insurance Dental/Vision plans Life Insurance Paid Time Off Annual Merit Increases Tuition Reimbursement Health Initiatives For more details visit our benefits summary page SFARM
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity
