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Top Hybrid Data Engineer Jobs in San Diego, CA
As a Senior Machine Learning Quality Engineer, you will design and review test automation frameworks, collaborate with ML engineers, establish metrics for quality testing, and improve testing strategies and efficiencies within the team. You will also create comprehensive test plans and enhance existing automation frameworks to ensure the quality of AI/ML models.
As a Senior Associate Data Architect at PwC, you will design and implement data architecture strategies, develop data pipelines, and ensure compliance with data governance policies. You will work on cloud-based data solutions to enhance data processing, collaborate with stakeholders, and apply critical thinking to deliver actionable insights that support business objectives.
As a Machine Learning Engineer at ZS, you will build and enhance ML engineering platforms, orchestrate model pipelines, and implement ML Ops for continuous improvement. You will work with large datasets and collaborate with teams to deliver solutions that utilize advanced machine learning algorithms and AI technologies.
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The Database Engineer will design, code, test, and deploy new database configurations for significant upgrades to an enterprise-wide Imagery Archive and Geospatial Intelligence System, focusing on Oracle databases, and work collaboratively on a multidisciplinary engineering team. The role also involves database development and administration in a secure and dynamic environment.
Top hybrid Companies in San Diego, CA Hiring Data + Analytics Roles
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