DevOps Engineer - AI
Welcome to Level AI – a Series B startup in Mountain View, CA, transforming the Customer Experience landscape with top-tier VC support and Silicon Valley expertise. Our mission: revolutionize customer sales experiences through cutting-edge speech AI, NLP/NLU, CV and information retrieval systems.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!
Responsibilities:
Design, build, and develop/enhance state of art machine Learning system infrastructure (cloud and on-premise) core components and architect platforms to create, train and deploy ML models.Build operating dashboards and charts to track system errors, performance and enable root cause analysis.Identify gaps and evaluate relevant tools and technologies as needed to improve processes and systems, leveraging open-source and cloud computing technologies to build effective solutions.Collaborate with the AI team to drive ML projects from conception to completion and production monitoring. Requirements:
Bachelors or above with a good academic background.3-4 years of meaningful work experience in DevOps handling complex services.Strong troubleshooting skills to keep our services highly available.Strong expertise and experience with Google Cloud Platform (GCP), Docker, Kubernetes, CI/CD, and Jenkins.Extensive experience in designing, implementing, and maintaining infrastructure as code using preferably Terraform.Create and maintain deployment manifest files for microservices using HELM.Having LLMOps or MLOps experience is a bonus.Strong expertise required with deployment at scale on kubernetes cluster via HPA.Broad technical background and experience with architecture, design, and operations of cloud solutions and the how-to meet security compliance requirements.Monitoring system health, ensuring security, scalability, and reliability.Design, implement, and maintain observability, monitoring, logging, and alerting using the tools like Prometheus, Grafana, Promtail, Loki, Datadog. Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.
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