MLOPS Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required

Skills

GitHub
Jenkins
Terraform
Python
Google Cloud
GCP
Database
Machine Learning
Deployment
Git
Pipeline
PyTorch
ARGO
Computer Vision

Job Details

Position: MLOPS Engineer
Location: Seattle WA (Hybrid) (Only Local)
Duration: Contract
Must Have Python Programming, PyTorch, Computer Vision.
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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About Advantra Consulting Group