MLOps Engineer: Build Scalable ML CI/CD & Pipelines

Evlo AI; Phoenix (AZ); On-site; USD 120,000 - 190,000; Full time

Job summary

Evlo AI is seeking an experienced MLOps/Platform Engineer to own the infrastructure and tooling that turns experimental ML work into reliable, production-scale systems. You will build and maintain CI/CD pipelines for ML models, containerized training and inference on Kubernetes, and scalable model serving across environments.

Join a cross-functional team to implement ML observability, data and training pipeline orchestration, and cost-efficient cloud utilization while enabling data scientists

Qualifications

• 3–7 years of experience in MLOps or platform engineering supporting ML workloads in production.
• Strong Python and Bash skills; proficiency with Docker, Kubernetes, and at least one major cloud (AWS, GCP, or Azure).
• Hands-on experience building CI/CD pipelines for ML systems, including model versioning, canary deployments, and rollback strategies.
• Experience with workflow orchestration tools (Airflow, Kubeflow, Metaflow) and ML experiment tracking (MLflow, W&B).
• Working knowledge of distributed training and serving concepts: data parallelism, batching, quantization, or GPU resource management.

Responsibilities

• Design and maintain CI/CD pipelines for ML workflows using GitLab CI, GitHub Actions, or Jenkins, including automated testing, model versioning, and staged rollouts.
• Build and operate containerized training and inference workloads on Kubernetes, with GPU scheduling, autoscaling, and cost controls.
• Deploy and manage model serving infrastructure using KServe, Triton Inference Server, TorchServe, or SageMaker endpoints.
• Implement ML observability with drift detection, latency dashboards, and alerting using Prometheus and Grafana.
• Orchestrate data and training pipelines with Airflow, Kubeflow, or Metaflow to ensure reproducibility and lineage.

Skills

Python

Bash

Docker

Kubernetes

Cloud platforms

CI/CD

Model serving

Observability

Workflow orchestration

Education

BS/MS in Computer Science or related field

Tools

GitLab CI

GitHub Actions

Jenkins

KServe

Triton Inference Server

TorchServe

SageMaker endpoints

MLflow

Weights & Biases

Airflow

Kubeflow

Metaflow

Job description

Evlo AI is seeking an experienced MLOps/Platform Engineer to own the infrastructure and tooling that turns experimental ML work into reliable, production-scale systems. You will build and maintain CI/CD pipelines for ML models, containerized training and inference on Kubernetes, and scalable model serving across environments.

Join a cross-functional team to implement ML observability, data and training pipeline orchestration, and cost-efficient cloud utilization while enabling data scientists