Senior ML Platform Engineer
Computer Enterprises Inc —Kissimmee, FL
- $70 - $80 an hour
- Contract
- Computer science
- Computer Science
- System design
- Health insurance
- Dental insurance
Quick Apply
Azure/M365 Engineer
Carrion Group, LLC —Remote
- From $40 an hour
- Part-time
- Remote
- Azure
- Mid-level
- SharePoint
Quick Apply
Network Engineer
Syntiro Networks, Inc —Remote
- $30 - $60 an hour
- Full-time
- Remote
- Heavy lifting
- Mid-level
- Analysis skills
- Flexible schedule
Quick Apply
13d
IT Engineer
Ionic Digital Inc. —Washington, DC
- Full-time
- Remote
- Mid-level
- Windows
- Organizational skills
- 401(k)
Quick Apply
Junior Security Engineer
E Logic —Baltimore, MD
- From $75,000 a year
- Full-time
- Remote
- 1 year
- Entry level
Quick Apply
IT Engineer
Mesquite Modules Corporation —Mesquite, TX
- Full-time
- Mid-level
- IT
Quick Apply
Junior Cloud Engineer
Changeis —Remote
- Remote
- Azure
- Computer Science
- AWS
Quick Apply
JR. Network Engineer
City Of Gary —Gary, IN
- $56,336 a year
- Weekends as needed
- System design
- Mid-level
- Travel
Quick Apply
Desktop Systems Engineer
Network Temp Inc —New York, NY
- $90,000 - $125,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Paid holidays
- Disability insurance
Quick Apply
Infrastructure Engineer
The AES Group —Seattle, WA
- Remote
- Azure
- Computer Science
- System design
- Dental insurance
- Vision insurance
Quick Apply
Systems Engineer
HAProxy Technologies —Remote
- Full-time
- Remote
- Azure
- Computer Science
- 5 years
- Health insurance
IT Infrastructure & Security Engineer
Paragone Solutions, Inc. —Remote
- Full-time
- Azure
- 5 years
- Microsoft Office
Quick Apply
IT Project Engineer (East Coast)
Atlas Technica —Remote
- Full-time
- Remote
- Mid-level
- Windows
- 3 years
Quick Apply
Systems Engineer
Team Tranquil Software Solutions —Fairfield, NJ
- Email
- Azure
- Computer Science
- System design
IT Engineer
Everforth ECS —Fairfax, VA
- $95,000 - $110,000 a year
- System design
- Mid-level
- Office
IT Engineer
XR Extreme Reach —Chicago, IL
- $80,000 - $90,000 a year
- Full-time
- Hybrid work
- Mid-level
- Continuous improvement
- SharePoint
Quick Apply
Systems Operations Engineer
ABB OPTICAL Group —Remote
- $82,500 - $110,000 a year
- On call
- Computer Science
- Word processing
- Writing skills
- Paid holidays
- Disability insurance
Quick Apply
Tier 3 Engineer
On Call Computer Solutions, LLC —Remote
- $150,000 - $200,000 a year
- Full-time
- Remote
- Mid-level
- Communication skills
Quick Apply
13d
SCCM Engineer
Qode —Almont, CO
- Contract
- Remote
- Mid-level
Quick Apply
IT Support Engineer
Arrow Search Partners —New York, NY
- $90,000 - $120,000 a year
- Mid-level
- Office
- Windows

I want to receive the latest job alert for It Engineer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Senior ML Platform Engineer

Computer Enterprises Inc -
Kissimmee, FL

Quick Apply

Job Details

Contract
$70 - $80 an hour

Benefits

Health insurance
Dental insurance
Vision insurance
401(k) matching

Qualifications

AI models
Containerization systems
Software engineering
Linux support
IT system monitoring
Microservices
Event-driven architecture
Bachelor's degree
Cloud service support
Model deployment
Systems engineering
Production monitoring
System deployment
Application Maintenance
Systems & applications support
Machine learning (ML) fundamentals
Distributed computing
Real-time data processing implementation
Cloud monitoring
Linux administration
Python
MLOps
Production troubleshooting
System performance monitoring

Full Job Description

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.

#ZR
#INDGEN

Quick Apply

Refine Your Search

It Engineer jobs