MLOPS Engineer

Overview

On Site
Depends on Experience
Full Time
Accepts corp to corp applications
No Travel Required

Skills

MLOPS
Computer Vision
GCS
AI\ML
Python

Job Details

MLOPS Engineer
Location: Seattle WA (Hybrid)
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..

Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

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