RIT Solutions, Inc.
This is Remote opportunity
But need candidates from the below given locations
Position:
MLOPS Engineer with Python - Location:
Atlanta, GA/ Irving, TX /Irvine ,CA/ New Jersey/ Tampa, FL Duration:
Contract
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 GCP PyTorch, Tensorflow, Keras KubeFlow, Airflow, Argo
Position:
MLOPS Engineer with Python - Location:
Atlanta, GA/ Irving, TX /Irvine ,CA/ New Jersey/ Tampa, FL Duration:
Contract
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 GCP PyTorch, Tensorflow, Keras KubeFlow, Airflow, Argo