Gen AI Platform Support Engineer Job in Hartford, United States

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

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, GCP, 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).

Benefits:

Technology, Digital, Cloud and Infrastructure, Technology and Engineering, Delivery Management, Service Delivery Management, Sales and Marketing, Corporate, PMO, Data Strategy & Consulting, Cloud Application Engineering, Functional Consulting, Enterprise Apps, Program Management, Oracle, Mobile App Engineering, Portfolio Management, Telco, Project Management, Data Management, SAP, Intelligent Automation, ServiceNow, Pega, Customer Experience, Mainframe Apps, Cloud Operations, Digital Engineering, Experience Design, Data Governance, Azure, Other CRM and EAS packages, Salesforce, SRE & Observability, GCP, Automation Support, Core Tech .NET, Emerging Tech, DevOps, Insurance, Platform Assurance, Data Testing and Validation, Functional programming, Business Analysis, Data Platforms, Non-Functional Assurance, Application Maintenance and support, EAI Middleware, Infrastructure Maintenance and support, Data Integration, KPO, IPA/RPA, AI/ML, Banking & Financial Services, Web App Engineering, Others, Business intelligence., Digital Quality Assurance, Other BPM, Security