Senior ML Platform Engineer — Kubernetes, Cloud & MLOps

CEI; Orlando, Northern (FL, KY); Hybrid; USD 103,000 - 110,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) match

Job summary

CEI seeks a Senior ML Platform Engineer to design and operate Kubernetes-based ML pipelines, containerized apps, and cloud infra for real-time data processing and production ML workloads.

The role focuses on building Python services and collaborating with cross-functional teams to deploy scalable, secure models on AWS/EKS using Docker and Helm in a hybrid Orlando setting (4 days onsite).

Qualifications

• 8-10+ years of software or infrastructure engineering experience.
• Hands-on Docker and container development, Dockerfiles and image builds.
• Deep Kubernetes experience: Deployments, Services, Ingress, PV/PVC, Helm, production troubleshooting.
• Strong Python development experience.
• Production cloud infrastructure experience, preferably AWS and EKS.
• Experience deploying ML workloads in production and real-time/event-driven systems.
• Experience building real-time or event-driven systems.
• Expertise with Linux/Ubuntu environments.
• Experience with Kafka, Kinesis, Redis or similar messaging platforms.
• Ability to clearly articulate ownership of systems and solutions.

Responsibilities

• Design and implement scalable ML training, evaluation, deployment, and monitoring pipelines.
• Build and support containerized applications within Kubernetes environments.
• Deploy and optimize computer vision and machine learning models for production workloads.
• Develop Python services, APIs, and data pipelines supporting real-time systems.
• Collaborate with cross-functional teams to integrate ML models into production platforms.
• Troubleshoot and optimize cloud infrastructure, Kubernetes workloads, and production pipelines.
• Build reusable tools for model monitoring, evaluation, and operational excellence.

Skills

Docker

Kubernetes

Python

AWS

EKS

ML workloads

Real-time systems

Linux/Ubuntu

Kafka/Kinesis/Redis

Ownership

Tools

Git

CI/CD

Helm

Containers tooling

Job description

CEI seeks a Senior ML Platform Engineer to design and operate Kubernetes-based ML pipelines, containerized apps, and cloud infra for real-time data processing and production ML workloads.

The role focuses on building Python services and collaborating with cross-functional teams to deploy scalable, secure models on AWS/EKS using Docker and Helm in a hybrid Orlando setting (4 days onsite).