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Role : Principal AI/ML Architect (MLOps)
Location : Scottsdale, AZ 85250 (onsite)
Hire Type : Contract
Client: Service base Company
Implementation partner: **********
Experience: 15 Years
Role Summary
Principal AI/ML Architect responsible for defining, architecting, and operationalizing enterprise-grade MLOps platforms using Domino.ai (or any other leading MLOps platform) and AWS. The role focuses on scalable model deployment, lifecycle management, governance, and production reliability, while partnering with data science, engineering, and business teams to deliver measurable AI-driven outcomes.
Key Responsibilities
Lead enterprise MLOps architecture and strategy.
Architect Domino.ai AWS Bedrock based ML platforms.
Production Alize real-time and batch ML inference pipelines.
Design scalable ML data pipelines.
Implement monitoring, drift detection, and governance frameworks.
Provide technical leadership and mentorship across AI/ML teams.
Collaborate with data, platform, and business stakeholders.
Required Skills & Experience
8 years in AI/ML architecture; 2 years Domino.ai; 3 years AWS/Bedrock.
Expert Python skills; experience with TensorFlow, PyTorch, scikit-learn.
Strong background in MLOps CI/CD, Kubernetes, and cloud-native architecture.
Experience delivering deep learning and NLP solutions.
Strong stakeholder communication and problem-solving skills.
Required Qualifications
Bachelor’s or master’s degree in a quantitative field.
Proven experience with enterprise ML platforms and production systems.
Knowledge of security, IAM, and cloud-native scaling
Role : Principal AI/ML Architect (MLOps)
Location : Scottsdale, AZ 85250 (onsite)
Hire Type : Contract
Client: Service base Company
Implementation partner: **********
Experience: 15 Years
Role Summary
Principal AI/ML Architect responsible for defining, architecting, and operationalizing enterprise-grade MLOps platforms using Domino.ai (or any other leading MLOps platform) and AWS. The role focuses on scalable model deployment, lifecycle management, governance, and production reliability, while partnering with data science, engineering, and business teams to deliver measurable AI-driven outcomes.
Key Responsibilities
Lead enterprise MLOps architecture and strategy.
Architect Domino.ai AWS Bedrock based ML platforms.
Production Alize real-time and batch ML inference pipelines.
Design scalable ML data pipelines.
Implement monitoring, drift detection, and governance frameworks.
Provide technical leadership and mentorship across AI/ML teams.
Collaborate with data, platform, and business stakeholders.
Required Skills & Experience
8 years in AI/ML architecture; 2 years Domino.ai; 3 years AWS/Bedrock.
Expert Python skills; experience with TensorFlow, PyTorch, scikit-learn.
Strong background in MLOps CI/CD, Kubernetes, and cloud-native architecture.
Experience delivering deep learning and NLP solutions.
Strong stakeholder communication and problem-solving skills.
Required Qualifications
Bachelor’s or master’s degree in a quantitative field.
Proven experience with enterprise ML platforms and production systems.
Knowledge of security, IAM, and cloud-native scaling