Senior AI/ML Platform Engineer
Contract W2
On-site
DOE
Fitment
Dice Job Match Score™
🔢 Crunching numbers...
Job Details
Skills
- IaaS
- Business Operations
- Resource Management
- FedRAMP
- Cloud Computing
- Management
- Scheduling
- Grafana
- Testing
- A/B Testing
- Workflow
- Incident Management
- Root Cause Analysis
- Python
- Continuous Integration
- Continuous Delivery
- Microsoft Azure
- Google Cloud
- Google Cloud Platform
- Kubernetes
- Terraform
- Ansible
- Amazon Web Services
- SDK
- Command-line Interface
- Reliability Engineering
- Technical Writing
- Optimization
- Machine Learning (ML)
- Release Management
- Artificial Intelligence
Summary
About the Company
Company is an organization operating in a technology-driven environment that leverages enterprise AI/ML platforms, cloud infrastructure, and modern engineering practices to support its business operations. The client emphasizes reliability, automation, responsible AI governance, and cost-efficient cloud resource management, and operates within standards that may include regulated or FedRAMP-compliant environments.
Key Responsibilities
Design, implement, operate, and continuously improve the shared enterprise AI/ML platform
Build and improve ML CI/CD pipelines, automation frameworks, and deployment processes
Manage cloud resources and perform cost optimization across AWS, Azure, or Google Cloud Platform
Manage Kubernetes clusters including resource quotas, autoscaling, and workload scheduling
Implement observability using Prometheus, Grafana, Datadog, OpenTelemetry, or equivalent tools
Operate Terraform and Ansible at production scale
Support the ML lifecycle including experiment tracking, model registries, feature stores, model serving, and drift monitoring
Implement automated model validation, testing, A/B testing, canary deployments, rollback, and production releases
Develop internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows
Perform troubleshooting, incident response, root-cause analysis, and produce technical documentation
Required Qualifications
10+ years of experience
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline
Master's degree
Skills
Python
CI/CD
AWS
Azure
Google Cloud Platform
Kubernetes
Prometheus
Grafana
Datadog
OpenTelemetry
Terraform
Ansible
vLLM
Text Generation Inference (TGI)
Infracost
AWS Cost Explorer
SDK and CLI Tooling Development
MLOps
Platform Engineering
Reliability Engineering
Technical Documentation
Cost Optimization
ML Model Deployment and Release Management
Responsible AI Governance
GitOps
Next Steps
Shortlisted candidates will receive an email from with instructions to complete a required screening step. Completion of this screening is mandatory to be considered for the role.If you do not receive this email after applying, please contact our Talent Expert at
Company is an organization operating in a technology-driven environment that leverages enterprise AI/ML platforms, cloud infrastructure, and modern engineering practices to support its business operations. The client emphasizes reliability, automation, responsible AI governance, and cost-efficient cloud resource management, and operates within standards that may include regulated or FedRAMP-compliant environments.
Key Responsibilities
Design, implement, operate, and continuously improve the shared enterprise AI/ML platform
Build and improve ML CI/CD pipelines, automation frameworks, and deployment processes
Manage cloud resources and perform cost optimization across AWS, Azure, or Google Cloud Platform
Manage Kubernetes clusters including resource quotas, autoscaling, and workload scheduling
Implement observability using Prometheus, Grafana, Datadog, OpenTelemetry, or equivalent tools
Operate Terraform and Ansible at production scale
Support the ML lifecycle including experiment tracking, model registries, feature stores, model serving, and drift monitoring
Implement automated model validation, testing, A/B testing, canary deployments, rollback, and production releases
Develop internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows
Perform troubleshooting, incident response, root-cause analysis, and produce technical documentation
Required Qualifications
10+ years of experience
Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline
Master's degree
Skills
Python
CI/CD
AWS
Azure
Google Cloud Platform
Kubernetes
Prometheus
Grafana
Datadog
OpenTelemetry
Terraform
Ansible
vLLM
Text Generation Inference (TGI)
Infracost
AWS Cost Explorer
SDK and CLI Tooling Development
MLOps
Platform Engineering
Reliability Engineering
Technical Documentation
Cost Optimization
ML Model Deployment and Release Management
Responsible AI Governance
GitOps
Next Steps
Shortlisted candidates will receive an email from with instructions to complete a required screening step. Completion of this screening is mandatory to be considered for the role.If you do not receive this email after applying, please contact our Talent Expert at
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: mansai
- Position Id: EXJ647902D8
- Posted 11 hours ago
Company Info
About Mansai Corporation
Mansai Corporation is a premier Information Technology, Engineering and Telecommunication Consulting Company offering a unique blend of solutions for your real world needs
From a small beginning in staff augmentation more than a decade ago, we are now a one stop shop for varied technology solutions. We serve numerous clients in the private sector from diverse verticals including Manufacturing, Telecom, Pharmaceuticals, Financial Services, High Technology and Utilities.
We also have a significant presence in the public sector serving the State, City and County Governments.
From a small beginning in staff augmentation more than a decade ago, we are now a one stop shop for varied technology solutions. We serve numerous clients in the private sector from diverse verticals including Manufacturing, Telecom, Pharmaceuticals, Financial Services, High Technology and Utilities.
We also have a significant presence in the public sector serving the State, City and County Governments.
Create job alert
Never miss an opportunity! Create an alert based on the job you applied for.