Role: Technical Associate Data IKU
Location: Alpharetta GA or Cincinnati OH (onsite)
Duration Full Time
Delivery Skills required are :
Lead the architecture design and development of enterprise Dataiku workflows pipelines and ML solutions.
Oversee data pre processing transformation and feature engineering for structured and unstructured datasets at scale.
Collaborate with AI/ML teams to develop train deploy and monitor machine learning models in production.
Automate workflows and pipelines using Python scripting ensuring scalability maintainability and efficiency.
Integrate Dataiku workflows with AWS services: S3 Glue Lambda EC2 Redshift and other cloud analytics services.
Establish and enforce DevOps/CI-CD practices for automated deployment testing version control and monitoring of Dataiku projects.
Ensure data quality governance compliance and security across all pipelines and ML workflows.
Provide technical leadership and mentorship to senior mid-level and junior engineers.
Collaborate with C-level executives business stakeholders and analytics teams to define enterprise data strategy and roadmap.
Contribute to enterprise data architecture standards best practices and governance policies.
Drive performance optimization cost efficiency and scalability for enterprise Dataiku deployments.
Role: Technical Associate Data IKU Location: Alpharetta GA or Cincinnati OH (onsite) Duration Full Time Delivery Skills required are : Lead the architecture design and development of enterprise Dataiku workflows pipelines and ML solutions. Oversee data pre processing transformation and fe...
Role: Technical Associate Data IKU
Location: Alpharetta GA or Cincinnati OH (onsite)
Duration Full Time
Delivery Skills required are :
Lead the architecture design and development of enterprise Dataiku workflows pipelines and ML solutions.
Oversee data pre processing transformation and feature engineering for structured and unstructured datasets at scale.
Collaborate with AI/ML teams to develop train deploy and monitor machine learning models in production.
Automate workflows and pipelines using Python scripting ensuring scalability maintainability and efficiency.
Integrate Dataiku workflows with AWS services: S3 Glue Lambda EC2 Redshift and other cloud analytics services.
Establish and enforce DevOps/CI-CD practices for automated deployment testing version control and monitoring of Dataiku projects.
Ensure data quality governance compliance and security across all pipelines and ML workflows.
Provide technical leadership and mentorship to senior mid-level and junior engineers.
Collaborate with C-level executives business stakeholders and analytics teams to define enterprise data strategy and roadmap.
Contribute to enterprise data architecture standards best practices and governance policies.
Drive performance optimization cost efficiency and scalability for enterprise Dataiku deployments.
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