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Senior ML Platform Engineer

  • Senior ML Platform Engineer job type Posted on: Nov 12, 2026
  • Senior ML Platform Engineer experience level CEI
  • Senior ML Platform Engineer employment type Orlando, Florida
  • Senior ML Platform Engineer salary Salary: $75 per hour
  • Senior ML Platform Engineer employment type Onsite
  • Senior ML Platform Engineer salary Full-time
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Job Title :

Senior ML Platform Engineer

Job Type :

Full-Time

Job Location :

Orlando Florida United States

Remote :

No

Jobcon Logo Job Description :

View Full Description

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.

#INDGEN
#ZR

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Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

0747b8c3

Employment:

Full-time

Salary:

$75 per hour

City:

Orlando

Job Origin:

ziprecruiter

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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.

#INDGEN
#ZR

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