| Data Engineer W AI.ML at Remote, Remote, USA |
| Email: [email protected] |
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From: Nidhi Raj, Urbench [email protected] Reply to: [email protected] Data Engineer W AI/ML Location - Dallas. (Tuesday, Wednesday, and Thursday in the office, Monday and Friday remote). Duration of Contract: 6 months 2 rounds of interview with happen. One virtual and another in person in Dallas. Minimum exp 7 + years No GC / Only Local max 30-40 Mils of distance Immediate Joiners Preferred Job description Your responsibility will include the following Review the current ML architecture identify gaps and design a resiliency solution Implement the design for all environments Implement and test High Availability and Disaster Recovery strategy by design Develop best practice guidelines for common patterns in development deployment and operations Develop defined CICD pipelines for application deployment automation Establish monitoring and auditing process for environment health run status and access Create a dashboard and notification system to report costs for each subgroup of Revenue Management Pricing YM IT Prod preprod non prod for cost management Enhance current security controls for users and process authorization Onboard Pricing 20 to the enhanced environments Minimum Qualifications Azure ML platform development and support. 3+ years of AI/ML platform engineering experience. 3+ years of experience developing platform orchestration code in Azure. Azure CLI, Python, Terraform as primary. Understanding Java. Strong experience with delivering Cloud Infrastructure as Code leveraging CI/CD, Terraform, and Git Actions. Experienced with AI ecosystem tooling - AIOps (evaluation, monitoring, governance, security). Must be a self-starter, and ability to take independent action to achieve results. Highly developed critical thinking, analytical, and problem-solving skills B.S. of Computer Science or related fields. Kind Regards, Nidhi Raj | Technical Recruiter Direct: +1 (7324812319) Email: [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology green card Data Engineer W AI.ML [email protected] |
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| 02:16 AM 28-Jan-25 |