Senior Gen AI platform support Engineer onsite in CT

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - Long term

Skills

Cloud
Docker
ML
Gen AI

Job Details

Job Title: Senior Gen AI platform support Engineer

Location: Hartford CT Day one onsite

GenAI Platform Support Engineer (Infra / Cloud Exp / Devops / Handling Deployment / Solution / Tools & Techniques - Teraform / AWS/Phython)

GenAI Platform Support 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).

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.

About Amaze Systems Inc