MLOPS with Python

Overview

On Site
$50 - $60
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Machine Learning Operations (ML Ops)
Google Cloud
Google Cloud Platform
Jenkins
Keras
Continuous Integration
Database
Python
TensorFlow
Terraform
Training
DevOps
GCS
Git
GitHub
Machine Learning (ML)
Orchestration
PyTorch
Artificial Intelligence
Cloud Computing
Computer Vision
Continuous Delivery
Data Flow

Job Details

Looking for MLOps with Python

Must be able to go Onsite for 5 Days Onsite in Redmond, Washington

Job Description -

Position: MLOPS with Python

Location: Redmond, WA -Onsite

Duration: Contract

Client : Wipro / Verizon

Minimum Qualifications:

  • 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, CI\CD (Jenkins, Gitops), datastore\database dev, AI\ML 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 AI\ML 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.

Skills
Years of experience
rating out of 5
Computer VISION
MLOps
Google Cloud Platform
PyTorch, Tensorflow, Keras
KubeFlow, Airflow, Argo

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