What are the responsibilities and job description for the GenAI Ops Engineer position at IO Associates?
Job Details
Location: Remote
Contract Duration: 3 month contract (with possibility of extension)
Job Overview:
We are seeking a skilled GenAI Ops Engineer to join a 3 month platform support project. The ideal candidate will play a critical role in ensuring the smooth operation of AI/ML models and APIs, providing both user-level and project-level support. You will work in an agile environment alongside a small, collaborative team to maintain and optimize platform operations on AWS SageMaker and Kubernetes.
Key Responsibilities:
- User-Level Support:
- Provide user support, including troubleshooting access issues, responding to user inquiries, and offering education and documentation to ensure effective usage of GenAI tools and platforms.
- Project-Level Support:
- Handle new requests and escalations related to GenAI models and APIs.
- Provide hands-on maintenance of deployed AI/ML models and ensure the platform is functioning optimally.
- Platform Maintenance and Engineering:
- Oversee infrastructure, particularly AWS SageMaker, to ensure model deployments are efficient and reliable.
- Collaborate with platform engineering teams to support the SageMaker Inference, Kubernetes services, and troubleshoot any issues that arise.
- Model and API Management:
- Maintain and optimize the API layer, ensuring fast and reliable access to deployed models.
- Work with TensorRT, TGI, and similar frameworks to manage inference for Large Language Models (LLMs).
Required Skills and Experience:
- AWS SageMaker Inference:
Experience in deploying and managing AI models on AWS SageMaker or a similar ML platform. - Kubernetes Service Layer:
Hands-on experience with Kubernetes, particularly in managing service layers implemented in Golang. - TGI or LLM Frameworks:
Exposure to TensorRT, TGI, or LLM inference frameworks is essential, especially for troubleshooting and optimizing model performance. - Golang:
Experience with Golang is a plus, particularly if you've worked with proxies or backend services in Golang.
Nice to Have:
- Experience working in an agile team environment.
- Experience with troubleshooting application issues at both the platform and application levels.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
