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Urgent! Data Science Platform Deployment Expert Position in Dubai - beBeeEngineer

Data Science Platform Deployment Expert



Job description

Field Engineer - Build, Validate and Run Data Science Platforms

The Field Engineer is responsible for working with customers across various stages of their relationship with the company, from initial evaluations to enterprise-wide deployments.

This role requires technical expertise, adaptability, inventiveness, and strong communication skills.

Key responsibilities include designing, building, validating, and running Data Science and AI platforms, as well as providing architecture recommendations based on customer requirements in terms of scalability, availability, and security.

The Field Engineer will deploy Dataiku in various technical environments and automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack.

This role involves collaborating with Revenue and Customer teams to deliver a consistent experience to customers, driving technical success by being a trusted advisor to internal account teams, and promoting professional development among team members.

  • At least 3 years of experience with cloud-based services (AWS, GCP or Azure)
  • Hands-on experience with Kubernetes setup, administration, troubleshooting, and tuning
  • Familiarity with application deployment tools such as Ansible, Terraform, or CloudFormation

A successful candidate should possess strong analytical and problem-solving skills, be able to work in a fast-paced environment, and have excellent communication and interpersonal skills.

Experience with Linux and scripting languages like Python or Bash is also desirable.

The hiring process for this role includes an initial call, a video call, a technical assessment, a debrief, and a final interview.


Required Skill Profession

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