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- Build AI and data infrastructure - Design AI and data solutions - Enable data and AI culture - Ensure cybersecurity compliance - Ensure data privacy compliance - Evaluate data and AI technologies - Implement AI…
- Analyze and visualize data - Build data reports and presentations - Derive insights and recommendations - Develop and optimize digital solutions - Research and evaluate new technologies - Support data analysis -…
- Analyze source systems and data landscapes - Build and evolve Snowflake data platform - Build reusable data products - Design and maintain scalable data models - Develop and operate reliable data pipelines - Ensure…
- Analyze large datasets with statistical methods - Build and maintain data pipelines - Collaborate with business IT legal compliance and cybersecurity partners - Conduct A/B testing and hypothesis testing - Create…
The AI Software Architect will design and oversee the deployment of production-grade AI systems, focusing on LLM orchestration, agent architecture, and robust governance frameworks. The role involves integrating heterogeneous systems, ensuring security, and establishing observability and evaluation standards across cloud and on-premises environments.
The Senior AI Engineer will build and deploy multi-step AI pipelines, including hybrid retrieval systems, knowledge graphs, and production-grade monitoring and evaluation harnesses.
Build and deploy production AI services including multi-step pipelines, retrieval grounding with knowledge graphs, and agentic workflows at Siemens.
Senior AI Engineer designing and deploying agentic AI pipelines, knowledge graph systems, and evaluation harnesses across on-prem, hybrid, and cloud environments at Siemens.
The Senior AI Engineer will design and deploy complex AI pipelines, including hybrid retrieval, citation systems, and domain-specific knowledge graphs. The role focuses on building robust production systems with integrated monitoring, evaluation harnesses, and human-in-the-loop orchestration.
The Senior AI Engineer will build and deploy complex AI systems, including hybrid retrieval pipelines, agentic workflows, and knowledge graphs. The role focuses on implementing production-grade observability, evaluation harnesses, and multi-environment deployment strategies.
The Senior AI Engineer will build and maintain multi-step AI pipelines, implement observability, and develop hybrid retrieval systems with knowledge graphs. The role focuses on creating evaluation harnesses and managing multi-environment deployments.
The Data Engineer will design and build scalable data infrastructure and pipelines on AWS to support AI/ML workflows. The role involves collaborating with data scientists to automate deployments and define data ingestion strategies.
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