
Expert Artificial Intelligence Engineer
1 week ago
Job Description:
- Augment your career by becoming a skilled expert in Artificial Intelligence engineering.
The ideal candidate will have experience working with large-scale AI implementations, utilizing vector databases and Large Language Model integration for search and analytics.
Key Responsibilities:
- Data Pipelines: Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.
- Copilot Studio: Work hands-on with Copilot Studio for AI-driven application development and automation.
- AI Foundry: Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
- Retrieval-Augmented Generation (RAG): Develop and deploy RAG solutions for enterprise AI use cases.
- Collaboration: Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.
- Data Management: Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.
- Compliance: Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.
- Technical Expertise: Possess hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.), strong programming/scripting knowledge (Python, SQL, PySpark, etc.), and experience with Extract, Transform, Load/Extract, Load, Transform (ETL/ELT), data warehousing, and API integrations.
- MLOps: Have good understanding of Machine Learning Operations (MLOps) and AI deployment frameworks.
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