AI Summary
Powered by ClaudeDesired Skill-set Experience with Responsible AI frameworks, fairness/bias assessment, and model explainability tools; Exposure to graph databases; Exposure to feature stores, model registries, and data/version management tools; Understanding of data privacy, anonymization, and compliance requirements in regulated industries. Responsibilities Collaborate with business stakeholders to understand use cases, define AI solution approaches, and build Proofs of Concept (PoCs) when required; Engineer,…
Job description
Desired Skill-set Experience with Responsible AI frameworks, fairness/bias assessment, and model explainability tools; Exposure to graph databases; Exposure to feature stores, model registries, and data/version management tools; Understanding of data privacy, anonymization, and compliance requirements in regulated industries. Responsibilities Collaborate with business stakeholders to understand use cases, define AI solution approaches, and build Proofs of Concept (PoCs) when required; Engineer, deploy, and maintain machine learning models in production using best-in-class MLOps practices (model versioning, CI/CD, observability, monitoring and others; Build and maintain scalable, maintainable data pipelines and monitor model performance across environments; Ensure all AI solutions comply with organizational AI policies, responsible AI guidelines, and audit/regulatory requirements; Support data exploration, feature engineering, and hands-on model development when necessary.
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