Senior ML Platform Engineer

Job Description Job Description Sr. ML Platform Engineer
Job at a Glance

• Title: Sr. ML Platform Engineer
• Location: Orlando, FL (4 days onsite)
• Contract: 12 months initial with potential for extension of up to 22 months or conversion to full time with the client
• Pay: $75.00-$80.00/hour + optional medical, dental, vision, 401(k) match

Overview
Our Client is seeking a senior-level software engineer with deep hands-on experience across Kubernetes infrastructure, containerized application development, cloud platforms, and production machine learning systems. This role supports a high-scale platform focused on real-time data processing, computer vision, MLOps, and cloud-native deployment architectures. The ideal candidate is equally comfortable building containerized applications and operating Kubernetes infrastructure in production environments.
Key Responsibilities

• Design and implement scalable machine learning training, evaluation, deployment, and monitoring pipelines.
• Build and support containerized applications deployed 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.

Required Skills

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

Preferred Skills

• Rancher experience.
• AWS services including SageMaker, S3, and DynamoDB.
• Computer vision experience with YOLO, OWL, SAM, VLM, or VLA models.
• Experience optimizing large-scale model performance.
• Java experience.
• High-visibility production systems experience.
• Security-conscious platform engineering experience.

Why Should I Apply?
Join a highly visible engineering team building cloud-native machine learning and computer vision platforms at scale. This role offers the opportunity to solve challenging infrastructure, Kubernetes, and MLOps problems while contributing to real-world systems that support millions of users and large-scale production workloads.
About CEI
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.