AI/ML Engineering Lead
Contract W2
On-site
DOE
Fitment
Dice Job Match Score™
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Job Details
Skills
- Public Sector
- Cyber Security
- Privacy
- FedRAMP
- Risk Management Framework
- IaaS
- Data Engineering
- Machine Learning Operations (ML Ops)
- Management
- Incident Management
- Disaster Recovery
- Risk Management
- Python
- scikit-learn
- Apache Airflow
- Amazon SageMaker
- Microsoft Azure
- Google Cloud
- Google Cloud Platform
- Docker
- Kubernetes
- Continuous Integration
- Continuous Delivery
- Automated Testing
- Evaluation
- Data Quality
- Terraform
- IT Management
- Mentorship
- Coaching
- Machine Learning (ML)
- Generative Artificial Intelligence (AI)
- Artificial Intelligence
- Auditing
- Data Governance
- Reliability Engineering
- Cloud Computing
- Optimization
- Regulatory Compliance
Summary
About the Company
Company is a client operating in the public sector, supporting multiple state agencies through shared enterprise technology services. The organization focuses on delivering secure, scalable, and reliable AI/ML capabilities in a highly regulated government environment, with emphasis on responsible AI, cybersecurity, and privacy requirements aligned with standards such as FedRAMP and the NIST AI Risk Management Framework.
Key Responsibilities
Lead the architecture, development, implementation, and governance of a shared enterprise AI/ML platform supporting multiple state agencies
Deliver secure, scalable, reliable, and responsible AI/ML solutions across ML engineering, MLOps, cloud infrastructure, data engineering, and Generative AI
Build and operate shared enterprise AI/ML platforms supporting multiple teams or agencies
Establish MLOps practices including model registries, experiment tracking, automated testing, deployment, and monitoring
Design and manage data pipelines, feature stores, data quality, data lineage, and governance
Apply strong technical leadership in architecture, mentoring, security, and responsible AI
Ensure platform observability, reliability engineering, incident management, disaster recovery, and cloud cost optimization
Apply responsible AI practices including model explainability, fairness auditing, bias mitigation, and model risk management
Required Qualifications
16+ years of experience
Bachelor's degree in Computer Science, Data Science, Engineering, IT, or a related field
Master's degree in Computer Science, Data Science, Engineering, IT, or a related field
Skills
Python
PyTorch
TensorFlow
scikit-learn
Hugging Face
MLflow
Kubeflow
Apache Airflow
AWS SageMaker
Azure AI/ML Services
Google Cloud Platform AI/ML Services
Docker
Kubernetes
CI/CD Pipelines
Model Registries
Experiment Tracking
Automated Testing
Deployment and Monitoring
LLMs
Prompt Engineering
RAG Architecture
Model Evaluation
Fine-tuning
Data Pipelines
Feature Stores
Data Quality
Data Lineage
Terraform
Pulumi
GitOps
Technical Leadership
Mentoring and Coaching
MLOps
ML Platform Engineering
Generative AI
Responsible AI
Model Explainability
Fairness Auditing and Bias Mitigation
Data Governance
Reliability Engineering
Cloud Cost Optimization
Security and Compliance
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 a client operating in the public sector, supporting multiple state agencies through shared enterprise technology services. The organization focuses on delivering secure, scalable, and reliable AI/ML capabilities in a highly regulated government environment, with emphasis on responsible AI, cybersecurity, and privacy requirements aligned with standards such as FedRAMP and the NIST AI Risk Management Framework.
Key Responsibilities
Lead the architecture, development, implementation, and governance of a shared enterprise AI/ML platform supporting multiple state agencies
Deliver secure, scalable, reliable, and responsible AI/ML solutions across ML engineering, MLOps, cloud infrastructure, data engineering, and Generative AI
Build and operate shared enterprise AI/ML platforms supporting multiple teams or agencies
Establish MLOps practices including model registries, experiment tracking, automated testing, deployment, and monitoring
Design and manage data pipelines, feature stores, data quality, data lineage, and governance
Apply strong technical leadership in architecture, mentoring, security, and responsible AI
Ensure platform observability, reliability engineering, incident management, disaster recovery, and cloud cost optimization
Apply responsible AI practices including model explainability, fairness auditing, bias mitigation, and model risk management
Required Qualifications
16+ years of experience
Bachelor's degree in Computer Science, Data Science, Engineering, IT, or a related field
Master's degree in Computer Science, Data Science, Engineering, IT, or a related field
Skills
Python
PyTorch
TensorFlow
scikit-learn
Hugging Face
MLflow
Kubeflow
Apache Airflow
AWS SageMaker
Azure AI/ML Services
Google Cloud Platform AI/ML Services
Docker
Kubernetes
CI/CD Pipelines
Model Registries
Experiment Tracking
Automated Testing
Deployment and Monitoring
LLMs
Prompt Engineering
RAG Architecture
Model Evaluation
Fine-tuning
Data Pipelines
Feature Stores
Data Quality
Data Lineage
Terraform
Pulumi
GitOps
Technical Leadership
Mentoring and Coaching
MLOps
ML Platform Engineering
Generative AI
Responsible AI
Model Explainability
Fairness Auditing and Bias Mitigation
Data Governance
Reliability Engineering
Cloud Cost Optimization
Security and Compliance
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: EXJ128153CF
- Posted 1 day 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.
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