Senior Architect - AI Engineering
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The role
Lead the design, development, and deployment of end-to-end AI systems across the organization.
Design and optimize ML pipelines from data ingestion to production, ensuring scalability and reliability.
Apply modern MLOps practices for model lifecycle management, testing, deployment, and maintenance.
Improve model performance, latency, and cost while guiding tool selection and architectural decisions.
Ensure adherence to ethical standards, governance, and regulatory requirements in AI work.
Collaborate with cross-functional teams and stakeholders to translate business needs into production-ready AI solutions.
Design and optimize ML pipelines from data ingestion to production, ensuring scalability and reliability.
Apply modern MLOps practices for model lifecycle management, testing, deployment, and maintenance.
Improve model performance, latency, and cost while guiding tool selection and architectural decisions.
Ensure adherence to ethical standards, governance, and regulatory requirements in AI work.
Collaborate with cross-functional teams and stakeholders to translate business needs into production-ready AI solutions.
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