Collaboration : Work with AI architect, infrastructure, and other engineers to develop and deploy AI models based on jointly created designs.
Operations : Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, unbiased output.
Support : Provide SME-level support, documentation, and guidance for implemented AI processes.
Governance and Improvement : Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.
Data Preparation : Design and implement processes to improve data quality, synthesize data, produce training sets, and generally prepare data for AI usage.
REQUIREMENTS
Qualifications : Experience : Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer-facing implementation of data orchestration and AI technologies. o Proficiency in programming languages (Python, Java), familiarity with related AI / ML frameworks (ex. LangChain, TensorFlow, PyTorch).
Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG))
Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred)
Strong development practices including source control, testing methodologies, and, preferably, DevOps or CI / CD processes and tooling or Familiarity with vector databases, search indexes, and embeddings
Experience with application and API development practices is a plus
Education : Bachelor's degree in Computer Science, Engineering, or a related field.
Certifications : Relevant certifications in AI, data engineering, or cloud computing are a plus.
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