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
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