Job title: Senior AI Software Engineer in Utah at Sorenson Communications
Company: Sorenson Communications
Job description: Description :Company: CaptionCall, LLCJob Title: Senior AI Software EngineerHeadquarter address: 4192 S. Riverboat Road, Salt Lake City, UT 84123.Worksite address: Position is fully remote. Work from home benefit available.To Apply: Please apply online at . Only qualified applicants should apply. Must have U.S. employment authorization. Do not apply if you are in F-1 or H-1 status or otherwise require employer sponsorship for U.S. employment authorization.Job Duties:
Expected salary:
Location: Utah
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Company: Sorenson Communications
Job description: Description :Company: CaptionCall, LLCJob Title: Senior AI Software EngineerHeadquarter address: 4192 S. Riverboat Road, Salt Lake City, UT 84123.Worksite address: Position is fully remote. Work from home benefit available.To Apply: Please apply online at . Only qualified applicants should apply. Must have U.S. employment authorization. Do not apply if you are in F-1 or H-1 status or otherwise require employer sponsorship for U.S. employment authorization.Job Duties:
- Deploy web applications and backend microservices in the JavaScript programming language hosted on Amazon Web Services (AWS).
- Deploy Automatic Speech Recognition (ASR) and other graphics processing unit (GPU)-based Machine Learning (ML) and Artificial Intelligence (AI) models to AWS cloud-based production Application Programming Interfaces (APIs).
- Design, implement, and deploy GPU-based microservice-based applications and APIs including REST, WebSocket, and gRPC.
- Design and implement high volume microservice data pipelines for real-time training of streaming AI models.
- Design and implement automated testing pipelines including writing unit tests using PyTest and JUnit, end-to-end tests, load tests using Locust, and A/B testing using LaunchDarkly.
- Design, implement, and optimize highly concurrent (multi-threaded and/or multi-process) object-oriented software libraries in the Java programming language.
- DevOps fundamentals including writing Infrastructure as Code Terraform scripts to deploy AWS services including VPC, subnets, security groups, NAT gateways, ECS, EKS, API Gateway, and Lambda.
- Design and implement API user authentication solutions using Auth0 and OAuth2.
- Design and build automatic Continuous Integration and Continuous Deployment (CI/CD) pipelines using GitHub Actions, Python scripts, and Linux operating system shell scripts.
- Decompose large projects and bug fixes into sprint goals and plan and track software releases and bugs/issues using Jira and GitHub.
- Develop Dockerfiles and deliver Docker images.
- Design and develop AWS monitoring tools using CloudWatch and Dynatrace dashboards to monitor software service health and performance.
- Deploy and maintain the stability of private (on-premises) and public cloud infrastructure for Kubernetes cluster based microservices.
- Collaborate with the Security Team and use security fundamentals and best practices to ensure environments and resources meet the company’s minimum-security requirements.
- Design, implement, and manage both SQL and NoSQL databases.
- Deploying GPU-based ML models to AWS cloud-based production systems.
- Python, Java, and JavaScript programming languages.
- Object-oriented software design and implementation.
- Private (on-premises) and public cloud infrastructure.
- Security fundamentals and best practices.
- Amazon Web Services (AWS)
- User Authentication using Auth0
- Linux operating system shell scripts.
- GPU based microservice design.
- High-volume real-time, streaming microservice system design.
- Developing Dockerfiles and delivering Docker images.
- Plan and track software release and bugs/issues using Jira and GitHub.
- Writing: testable code, unit tests using PyTest and JUnit, end-to-end tests, load tests using Locust, and A/B test using LaunchDarkly.
- Designing and building automatic CI/CD pipelines using GitHub Actions, Python scripts, and Linux operating system shell scripts.
- Designing, implementing, and managing both SQL and NoSQL databases.
- DevOps fundamentals including writing Infrastructure as Code scripts using Terraform.
- AWS networking infrastructure, including VPC, subnets, security groups, route tables, and NAT gateway.
- AWS CloudWatch and Dynatrace dashboard monitoring tools.
- Deploying ASR and other GPU-based ML and AI models to AWS cloud-based APIs.
Expected salary:
Location: Utah
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