ML Ops Engineer

Job Description:

Apex Systems is seeking a Machine Learning Operations Engineer for our Des Moines, IA based client. This role will deploy internal and external/ open-source ML frameworks/models and pipeline in production Kubefarm ensuring seamless functioning of the pipeline. Interested candidates should send their resume to Hunter at [email protected]

Responsibilities

Experience in creating and managing production scale Kubernetes clusters, Deep understanding of Kubernetes networking

An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform

Support our Kubernetes based projects to resolve critical and complex technical issues

Good knowledge about Kubernetes core concepts (Deployment, ReplicaSet, DaemonSet, Statefulsets, Jobs, Secrets, Ingress, Storage services, Networking services)

Qualifications:
3+ years of industry experience working in Software Engineering, DevOps or Data Engineering with Data Science and MLOps experience

2+ years of experience working in containerized applications like Kubernetes and Docker and creating and maintaining docker-based micro-services API 

Proficiency in Python and scripting languages

Experience with version control and workflow management (Airflow, Nextflow, Argo)

Experience in continuous integration/continuous delivery (CI/CD) pipelines for ML applications using GitLab/Jenkins