| Platform ML Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Ashi, Key Infotek [email protected] Reply to: [email protected] Location: Irving, TX or Basking Ridge, NJ Local only Job1: Platform ML Engineer Job Description: We are seeking a highly skilled GCP Platform Engineer to join our team responsible for supporting DevOps activities. The ideal candidate will have expertise in GCP, gcloud, and DevOps experience using Python, Jenkins, and shell programming. Additionally, knowledge of Vertex AI, Gen AI, prompt engineering, and LLM tuning is essential. The selected candidate will be responsible for designing, implementing, and maintaining scalable and performant GCP solutions, ensuring seamless integration with DevOps pipelines and enhancing the overall efficiency of our AI/ML workflows. Skill Set: Proficiency in GCP, gcloud, and DevOps principles Experience in Python, Jenkins, and shell programming Knowledge of Vertex AI, Gen AI, and prompt engineering Understanding of LLM tuning and optimization techniques Strong analytical and problem-solving abilities Excellent communication and interpersonal skills Job2: Platform Engineer Responsibilities: Develop, deploy, and maintain Google Cloud solutions and services that meet business requirements Design and implement secure, scalable, and robust cloud applications utilizing Google Cloud Platform services Work closely with other developers, architects, and stakeholders to ensure effective collaboration and communication across all stages of the development cycle Develop and maintain automated build, test, and deployment pipelines using DevOps methodologies( Terraform, Ansible). Work with product application teams to continuously optimize their workloads for cost-efficiency and performance, making recommendations for resource adjustments as needed Implement data protection and identity access management policies to safeguard cloud resources and data. Set up and manage access to cloud resources using accounts, users, and groups. He/she should be knowledgeable about potential vulnerabilities of virtual machines and container deployment systems. Experience implementing and supporting IAM tools and processes Write BigQuery SQL complex queries Google Kubernetes Experience (GKE) to configure, deploy, maintain and support web applications, microservices Design and implement solutions to fascinating problems of scale and fault tolerance to simplify the administration and user experience of Kubernetes platforms. Develop Helm charts, Docker images, config maps , custom controllers, resource definitions, gateways, API endpoints, and other Kubernetes control plane components. Create test plans, deployment automation, dashboards, alerts, and insights into our products operations as well as participate in the Kubernetes Core Interfaces. on-call rotation Keywords: artificial intelligence machine learning New Jersey Texas Platform ML Engineer [email protected] |
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| Tue Sep 10 04:06:00 UTC 2024 |