Job Title: Data Engineer (AI/NLQ)
Location: Miami FL (osnite)
Type: 6 months CTH
Job Overview:
We are seeking a seasoned Data Engineer to support the implementation and optimization ofCortexand other AI-driven platforms. This role is pivotal in building scalable governed data infrastructure that enables natural language querying and intelligent data retrieval across enterprise systems.
Key Responsibilities
- Cortex Implementation: Contribute to the deployment and integration of Cortex enabling seamless NLQ (Natural Language Querying) experiences across the organization.
- Semantic Layer Design: Architect and maintain a governed semantic layer that ensures accurate secure and performant data access for AI tools and agents.
- Cross-functional Collaboration: Partner with AI Engineers and Functional Data Experts (FDEs) to model data for AI agents retrieval pipelines and analytics use cases-optimizing for correctness scalability and permissioning.
- Machine Learning Development: Design and implement machine learning algorithms and optimization models using frameworks such as PyTorch TensorFlow Scikit-Learn and MLlib.
- Operationalization of AI Layers: Translate semantic models into production-ready AI layers that support real-time NLQ and retrieval workflows; experience with Cortex or similar platforms is highly desirable.
- Programming Expertise: Proficient in Python and familiar with modern software engineering practices.
- ELT & Data Quality: Skilled in ELT tooling (e.g. AWS Glue) and implementing robust data quality frameworks.
- Governance & Compliance: Deep understanding of enterprise data governance PII handling and audit requirements including SOX-adjacent constraints.
Qualifications
- Minimum5 yearsof hands-on experience in data engineering or analytics engineering with proven success in production environments usingSnowflakeand cloud-based data warehouses.
- Demonstrated ability to build scalable secure and high-performance data systems that support AI/ML workflows
Required Skills:
NLQSNOWFLAKEPYTHONPytorchcortex
Job Title: Data Engineer (AI/NLQ) Location: Miami FL (osnite) Type: 6 months CTH Job Overview: We are seeking a seasoned Data Engineer to support the implementation and optimization ofCortexand other AI-driven platforms. This role is pivotal in building scalable governed data infrastructure that ena...
Job Title: Data Engineer (AI/NLQ)
Location: Miami FL (osnite)
Type: 6 months CTH
Job Overview:
We are seeking a seasoned Data Engineer to support the implementation and optimization ofCortexand other AI-driven platforms. This role is pivotal in building scalable governed data infrastructure that enables natural language querying and intelligent data retrieval across enterprise systems.
Key Responsibilities
- Cortex Implementation: Contribute to the deployment and integration of Cortex enabling seamless NLQ (Natural Language Querying) experiences across the organization.
- Semantic Layer Design: Architect and maintain a governed semantic layer that ensures accurate secure and performant data access for AI tools and agents.
- Cross-functional Collaboration: Partner with AI Engineers and Functional Data Experts (FDEs) to model data for AI agents retrieval pipelines and analytics use cases-optimizing for correctness scalability and permissioning.
- Machine Learning Development: Design and implement machine learning algorithms and optimization models using frameworks such as PyTorch TensorFlow Scikit-Learn and MLlib.
- Operationalization of AI Layers: Translate semantic models into production-ready AI layers that support real-time NLQ and retrieval workflows; experience with Cortex or similar platforms is highly desirable.
- Programming Expertise: Proficient in Python and familiar with modern software engineering practices.
- ELT & Data Quality: Skilled in ELT tooling (e.g. AWS Glue) and implementing robust data quality frameworks.
- Governance & Compliance: Deep understanding of enterprise data governance PII handling and audit requirements including SOX-adjacent constraints.
Qualifications
- Minimum5 yearsof hands-on experience in data engineering or analytics engineering with proven success in production environments usingSnowflakeand cloud-based data warehouses.
- Demonstrated ability to build scalable secure and high-performance data systems that support AI/ML workflows
Required Skills:
NLQSNOWFLAKEPYTHONPytorchcortex
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