Sr Gen AI Platform Support Engineer

  • Hartford, CT
  • Posted 15 days ago | Updated 1 day ago

Overview

On Site
Up to $63
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

Technical Program Manager
AI Center
Generative AI platform
AI/ML models
cloud platforms
DevOps Build/Release

Job Details

GenAI Platform Support

Need Local Candidates only: Onsite in Hartford CT

Job Summary: As a Generative AI Platform Support Engineer, you will provide technical support for our AI platform tasks. You will collaborate with cross-functional teams to troubleshoot issues, enhancements, monitor logs and ensure the platform operates smoothly and efficiently.

Key Responsibilities:

  • Assess and enhance the AI platform's data pipeline resilience.
  • Ensure that AI/ML models are fault-tolerant and scalable.
  • Identify bottlenecks in model inference and training pipelines.
  • Optimize model performance for real-time use cases.
  • Collaborate with the DevOps team on deployment improvements.
  • Implement automated testing for fault-tolerance scenarios.
  • Provide technical support for users of the Generative AI platform, troubleshooting issues and answering queries.
  • Monitor platform performance and implement optimization strategies.
  • Document processes, issues, and solutions for knowledge sharing and future reference.
  • Stay up-to-date with industry trends and advancements in generative AI technologies.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience on support and maintenance.
  • Experience with database management (SQL, NoSQL).
  • Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure).
  • Familiarity on provisioning Azure/AWS cloud services with Terraform script
  • Having knowledge on OpenAI will be an added advantage
  • Good knowledge on Shell Scripting/Python
  • Having knowledge on provisioning GEN AI Cloud Services on AWS/Azure will be an advantage
  • Must have knowledge on Kubernetes on OpenShift
  • Should have experience with troubleshooting services deployed on Kubernetes
  • Must have knowledge on DevOps Build/Release pipelines & understanding the Infrastructure needs
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge of containerization (Docker, Kubernetes).
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