Job Description
Job Summary
Responsible for designing and enforcing the framework that ensures our AI and Machine Learning models are ethical, compliant, and technically robust.
Responsible for overseeing and validating the entire AI/ML lifecycle from experimentation, model design and development to MLOps (model operationalization) across the enterprise, ensuring
Responsible AI best practices.
Responsible for conducting due diligence on 3 rd party AI/ML providers and Gen AI applications.
How will you contribute?
ML Development Governance: Establish standards for data lineage, feature engineering, and algorithm selection to ensure models are built on high-quality, unbiased foundations. Ensure proper audit-ready documentation of model design, development process and model approval.
ML Operationalization (MLOps) Oversight: Define governance gates for CI/CD pipelines, ensuring automated testing, version control, and audit trails are mandatory for all production deployments. Ensure pro...
Responsible for designing and enforcing the framework that ensures our AI and Machine Learning models are ethical, compliant, and technically robust.
Responsible for overseeing and validating the entire AI/ML lifecycle from experimentation, model design and development to MLOps (model operationalization) across the enterprise, ensuring
Responsible AI best practices.
Responsible for conducting due diligence on 3 rd party AI/ML providers and Gen AI applications.
How will you contribute?
ML Development Governance: Establish standards for data lineage, feature engineering, and algorithm selection to ensure models are built on high-quality, unbiased foundations. Ensure proper audit-ready documentation of model design, development process and model approval.
ML Operationalization (MLOps) Oversight: Define governance gates for CI/CD pipelines, ensuring automated testing, version control, and audit trails are mandatory for all production deployments. Ensure pro...
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