Senior ML Platform Engineer

CEI; Orlando, Northern (FL, KY); Hybrid; USD 145,000 - 166,000; Full time

Job summary

CEI is seeking a Senior ML Platform Engineer to design and operate production platforms powering real-time computer vision and ML workloads across cloud and on-prem environments. You will build Kubernetes-based infrastructure, automate operations, and ensure reliability for ML pipelines.

The role emphasizes platform engineering over model development, requiring strong AWS, Python, Docker, and Linux skills, with a hybrid work setup in the Orlando/Kissimmee area and a 12-month contract with

Qualifications

• 3+ years of software/platform engineering experience.
• Strong Kubernetes experience.
• Strong Docker/containerization experience.
• Experience supporting production distributed systems.
• Experience building and supporting microservices architectures.

Responsibilities

• Build and support production platforms powering computer vision and ML workloads.
• Design and maintain scalable Kubernetes-based infrastructure for real-time systems.
• Develop automation, tooling, and services to improve reliability and efficiency.
• Troubleshoot complex production issues across infrastructure, apps, networking and data pipelines.
• Monitor system health and optimize platform performance.

Skills

Kubernetes

Docker

Python

Linux/Ubuntu

Distributed systems

Microservices

Cloud infrastructure

Education

Bachelor's degree in CS/SE/IT

Tools

Kafka

Kinesis

Redis

RabbitMQ

Pulsar

Spark Streaming

Flink

Job description

Back Senior ML Platform Engineer
DevOps & Agile Transformation Kissimmee , FL Contract Hybrid Sep 8, 2026

Senior ML Platform Engineer

Job at a Glance

• Title: Senior ML Platform Engineer
• Location: Orlando, FL
• Contract: W2 only, 12-month contract with potential for extension or full-time conversion
• Pay: $70-80/hr + optional medical, dental, vision, and 401(k) match

Overview

Our entertainment client is seeking a Senior Platform Engineer to help build and support the infrastructure that powers real-time computer vision and machine learning systems used across connected devices, cameras, and large-scale digital experiences. This is NOT a Data Scientist, AI Research, or Prompt Engineering role. The focus is on platform engineering, cloud infrastructure, Kubernetes, distributed systems, and production support for machine learning applications. The ideal candidate is someone who builds and supports the platform that enables machine learning systems to run reliably in production rather than someone primarily focused on developing ML models.

Key Responsibilities

Platform Engineering

• Build and support production platforms that power computer vision and machine learning workloads
• Design and maintain scalable Kubernetes-based infrastructure supporting real-time systems
• Develop automation, tooling, and services that improve reliability and operational efficiency

Production Support

• Troubleshoot complex production issues across infrastructure, applications, networking, and data pipelines
• Design highly available, observable, resilient, and scalable systems
• Monitor system health and optimize platform performance

Real-Time Systems

• Design and support event-driven architectures and real-time processing pipelines
• Build and maintain microservices supporting distributed applications
• Support high-throughput messaging technologies such as Kafka, Kinesis, Redis, or similar platforms

Cloud & Infrastructure

• Develop and maintain cloud-native solutions in AWS
• Build and support containerized applications using Docker and Kubernetes
• Maintain Linux/Ubuntu-based environments

Machine Learning Infrastructure

• Partner with computer vision and machine learning teams to deploy and operationalize models
• Support inference pipelines and ML workloads running in production
• Assist with deployment, monitoring, and scaling of ML-enabled applications

Required Skills

Platform Engineering

• 3+ years of software engineering or platform engineering experience
• Strong Kubernetes experience
• Strong Docker/containerization experience
• Experience supporting production distributed systems
• Experience building and supporting microservices architectures

Cloud & Development

• Strong AWS experience
• Strong Python development experience
• Experience working in Linux/Ubuntu environments

Real-Time Systems

• Experience building or supporting real-time/streaming data pipelines
• Strong understanding of event-driven architectures
• Experience with Kafka, Kinesis, Redis, RabbitMQ, Pulsar, or similar messaging technologies

Operations & Troubleshooting

• Proven production troubleshooting experience
• Strong understanding of observability, monitoring, logging, and system reliability
• Ability to independently investigate and solve complex technical problems

Machine Learning Awareness

• Experience supporting machine learning or computer vision systems in production environments
• Understanding of inference pipelines and ML deployment workflows

Preferred Skills

• Experience supporting computer vision applications
• Exposure to object detection or inference pipelines
• Experience with MLOps environments
• AWS SageMaker
• Experience with YOLO, OWL, SAM, VLMs, or similar computer vision models
• Stream processing frameworks such as Spark Streaming, Kafka Streams, or Flink
• Experience supporting high-visibility, performance-critical systems
• Experience handling sensitive data with strong security and access controls
• Java experience

Required Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field

About CEI

CEI is a trusted technology partner delivering solutions across strategy, application development, and managed services. Our staffing solutions provide specialized talent to support complex project and workforce needs.