Senior Machine Learning Infra/OPS Engineer

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Job Description

Req ID: R2108635

The Security Analytics Engineering group is looking to hire a Sr. Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.

The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.


  • Design and develop core components, infrastructure, and architecture of a machine learning platform for VMware CB SBU to create, train and deploy ML models
  • Automate the day to day operational support for model training and model serving pipelinesCreate monitoring solutions that allow effective system accuracy, performance and enable troubleshooting of production ML models.
  • 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 data scientists, data engineers, product teams, and other key stakeholders and drive ML platform projects from conception to completion and production monitoring.


  • 6+ years strong experience in large scale distributed systems, Data Engineering, MLOps, Machine Learning and Data Science areas
  • Experience developing data pipelines and orchestrating the deployment of ML models for production ready systems .
  • Must have working experience to MLOps tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker
  • Infrastructure as code - Terraform experience
  • You can use AWS service and have a solid understanding of VPC, ALB/ELB, EC2, Route53, Kinesis, IAM, and other AWS concepts.
  • Strong understanding of containerization (Docker) and container-orchestration systems like Kubernetes; experience with data workflow managers such as Airflow is a plus
  • Experience with stream processing technology Kafka, Spark, Samza, Flink, etc.

Bonus Skills

  • Working proficiency in SQL. Experience with big-data processing engines (Hive, Tez, Spark, Presto, Athena) is a plus.
  • Familiarity with machine learning frameworks (like Keras or Tensor

Category : Engineering and Technology

Subcategory: Software Engineering

Experience: Manager and Professional

Full Time/ Part Time: Full Time

Posted Date: 2021-04-30

VMware Company Overview: At VMware, we believe that software has the power to unlock new opportunities for people and our planet. We look beyond the barriers of compromise to engineer new ways to make technologies work together seamlessly. Our cloud, mobility, and security software form a flexible, consistent digital foundation for securely delivering the apps, services and experiences that are transforming business innovation around the globe. At the core of what we do are our people who deeply value execution, passion, integrity, customers, and community. Shape what’s possible today.

Company Info.


VMware, Inc. is an American cloud computing and virtualization technology company headquartered in California. VMware was the first commercially successful company to virtualize the x86 architecture. VMware's desktop software runs on Microsoft Windows, Linux, and macOS, while its enterprise software hypervisor for servers, VMware ESXi, is a bare-metal hypervisor that runs directly on server hardware without requiring an additional underlying.

  • Industry
    Information Technology
  • No. of Employees
  • Location
    Palo Alto, California, United States
  • Website
  • Jobs Posted

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