Appian Infotech | Machine Learning with DevOps | Remote | United States | BigDataKB.com | 2023/01/18

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Job Location: Remote

Job Detail:

The engineer will help build MLOPS pipelines for a Computer Vision based platform

Skill set

SW Dev with Python, IaC (Terraform), experience with platform/utility lib dev, cloud tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI, Pipeline etc.), container orchestration pipelines, MLOPS, DevOps, CICD (Jenkins, Gitops), datastoredatabase dev, AIML basics

> Proficient in Python Programming

>Understanding of MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions.

> Very good understanding about one or more container orchestration frameworks (KubeFlow etc.)

> Exposure to Google Cloud Tech (GCS, BQ, Dataflow, Pub/Sub, GKE, VertexAI/KF Pipeline, etc.)

>Knowledge of Git and Github. Gitops, CI/CD deployments with Jenkins

> Exposure to IaC (Terraform), experience with platform/utility lib dev

> Familiar with AIML Models and its basics

>Experience working as one or more of the following DevOps Engineer, SRE, Platform Engineer, Infrastructure Engineer, Cloud Engineer, and/or Production Engineer.

Job Type: Contract

Pay: $30.00 – $60.00 per hour

Schedule:

  • On call

Application Question(s):

  • Experience working as one or more of the following DevOps, SRE, Cloud Engineer or Production Engineer
  • Apply only if US CITIZEN, GREEN CARD, TN VISA or H4 EAD only.
  • Apply only if comfortable with the rate $40/hr – $60/hr on C2C.

Education:

  • Bachelor’s (Preferred)

Experience:

  • Machine learning: 7 years (Preferred)
  • DevOps: 7 years (Preferred)
  • Python programming: 7 years (Preferred)
  • artificial intelligence: 7 years (Preferred)
  • Machine Learning Solution: 7 years (Preferred)
  • CI/CD deployments with Jenkins: 7 years (Preferred)
  • Container Orchestration frameworks: 7 years (Preferred)
  • GitHub: 7 years (Preferred)
  • Terraform: 7 years (Preferred)
  • AI/ML Basics: 7 years (Preferred)

Work Location: Remote




Apply Here

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