← Back to jobs

ApTask Logo
MLOps Engineer

ApTask

 

Plano, TX, USA

Posted On: 2 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: MLOps Engineer
Tenure: No Preference/Any
Related Jobs

No related jobs found

Description

Manage and scale machine learning workflows and real-time model serving infrastructures across AWS, GCP, and on-premises clusters.

This role is on-site.

Responsibilities

  • Deploy and configure large-scale applications within production Kubernetes clusters.
  • Develop and maintain CI/CD pipelines using ArgoCD.
  • Implement real-time system statistics collection and performance monitoring methods.
  • Collaborate with data scientists to support feature engineering and ML workflows.
  • Manage ML infrastructure across AWS, GCP, and on-premises environments.

Required Skills

  • 4+ years of experience in computer software development.
  • 2+ years of experience in AI or Client Engineering.
  • Hands-on experience with Kubernetes architecture, deployment, and troubleshooting.
  • Proficiency in Python and Java.
  • Experience with MLOps and cloud infrastructure in AWS and GCP.
  • Strong understanding of Data Science, AIML practices, and RTML model serving.
  • Familiarity with CI/CD processes and ArgoCD.
  • Knowledge of real-time system stats collection and performance monitoring.

Preferred Skills

  • Experience with RT Feature Engineering methodologies.

Education

Any Graduate

Related Jobs

No related jobs found

← Back to jobs