MLOps Engineer: End-to-End ML Pipelines & Deployments

Valiant Technologies LLC; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Valiant Technologies LLC seeks an experienced MLOps Engineer to design, implement, and operate end-to-end ML pipelines across development, training, deployment, and monitoring. You will build CI/CD/CT for automated model testing, validation, deployment, and retraining, and deploy models in production on cloud platforms.

You will implement model versioning, experiment tracking, registries, and artifact management, and work with Docker and Kubernetes to containerize ML applications while managing

Qualifications

• Experience with end-to-end ML deployment and monitoring pipelines.

Responsibilities

• Design, develop, and maintain end-to-end MLOps pipelines for model development, training, deployment, and monitoring.

Skills

MLOps frameworks

ML lifecycle management

Model deployment

Model monitoring

MLflow Kubeflow Metaflow

CI/CD tooling

Docker

Kubernetes

IaC (Terraform/Ansible)

Git

Cloud platforms (AWS/Azure/GCP)

Python scripting

Bash scripting

APIs & microservices

Prometheus/Grafana/ELK

Tools

Docker

Kubernetes

Terraform

Ansible

Git

REST APIs

Job description

Valiant Technologies LLC seeks an experienced MLOps Engineer to design, implement, and operate end-to-end ML pipelines across development, training, deployment, and monitoring. You will build CI/CD/CT for automated model testing, validation, deployment, and retraining, and deploy models in production on cloud platforms.

You will implement model versioning, experiment tracking, registries, and artifact management, and work with Docker and Kubernetes to containerize ML applications while managing