TechStar Group

AIML Support with DevOps

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AIML Support Engineer with DevOps in Irving, TX, for a contract length of unspecified duration, offering a competitive pay rate. Key skills include Jenkins, Looker, GCP, Kubernetes, and Python, with strong troubleshooting abilities required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 27, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Scala #Automation #Deployment #Terraform #Storage #Scripting #BI (Business Intelligence) #DevOps #Cloud #Ansible #Kubernetes #Python #Infrastructure as Code (IaC) #Jenkins #Looker #Visualization #IAM (Identity and Access Management) #Agile
Role description
Hi, This is Vel from TechStar Group. We are hiring for below position with one of our client. Kindly share me you updated resumes. Thank you!!! Role: AIML Support Engineer with DevOps Location: Irving, TX - On Site Required SkillsTechnical: • Jenkins (CI/CD), • Looker/Looker Core • GCP - Kubernetes, • Python Soft Skills: • Strong troubleshooting and problem-solving abilities • Ability to work in Agile environments and cross-functional teams Core ResponsibilitiesPlatform Support & Maintenance • Provide L2/L3 support for AIML platforms, ensuring uptime and performance. • Monitor, triage, and resolve incidents using tools like OpsGenie and NewRelic. CI/CD Pipeline Management • Design, implement, and maintain Jenkins pipelines for continuous integration and deployment. • Optimize workflows for infrastructure and application deployments using GitOps strategies . Data & Visualization • Support Looker and Looker Core dashboards for AIML analytics and reporting. • Collaborate with BI teams to maintain visualization integrity. Automation & Toil Reduction • Develop automation scripts for repetitive tasks and implement self-healing solutions. • Leverage Python for scripting and orchestration tasks. Containerization & Orchestration • Deploy and manage containerized applications using Kubernetes (GKE). • Ensure scalability and resource optimization for AIML workloads. Cloud & Infrastructure • Work with GCP-native tools for compute, storage, networking, and IAM. • Implement Infrastructure as Code (IaC) using Terraform or Ansible for automated provisioning