מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
What you will do
Collaborate with research and product development teams to scale machine learningproducts for internal and external applications
Create and manage training and deployment pipelines
Test to ensure correctness, responsiveness, and efficiency
Troubleshoot, debug and upgrade Dev & Test pipelines
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Collaborate with a cross-functional team about market requirements and best practices
Keep abreast of the latest technologies and standards in the field
What you will bring
3+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, and common technologies for automation and monitoring
Experience with Kubernetes/Openshift
Experience with Agile methodology
Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
Strong programming skills with proven experience implementing Python-based machinelearning solutions
Solid troubleshooting skills
Ability to interact comfortably with the other members of a large, geographically dispersed team
Experience maintaining an infrastructure and ensuring stability while adding new features
Familiarity with contributing to the vLLM community is a plus
While a Bachelor’s degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience
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