| Azure/GenAI Architect Remote at Remote, Remote, USA |
| Email: [email protected] |
| Azure/GenAI Architect VISA -any Remote High level: Azure GenAI architect (understanding of vector stores and other AI components) Experience managing offshore teams Ability to manage backlog and prioritize effectively Responsibilities: Use Cases and Strategy: Develop and strategize use cases for GenAI applications in alignment with business objectives. Executive Presence: Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact. Data Science Expertise: Harness your strong background in data science to drive insights and foster innovation. AI/ML Understanding: Demonstrate a deep understanding of AI/ML principles, including GenAI-specific approaches. Azure Ecosystem: Leverage knowledge of the Azure ecosystem to establish AI practices within organizations. End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions. MLOPS: Implement best practices for machine learning operations (MLOPS). Qualifications: Experience: Minimum of 6-12 years of relevant experience. Education: Bachelors degree required. Product Management: Excellent product management skills. Agile/Scrum: Familiarity with Agile/Scrum methodologies. Cloud Platforms: Knowledge of cloud big data platforms (Azure). AI/ML: Understanding of AI/ML, including GenAI/LLM solutions. High level: Azure GenAI architect (understanding of vector stores and other AI components) Experience managing offshore teams Ability to manage backlog and prioritize effectively Responsibilities: Use Cases and Strategy: Develop and strategize use cases for GenAI applications in alignment with business objectives. Executive Presence: Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact. Data Science Expertise: Harness your strong background in data science to drive insights and foster innovation. AI/ML Understanding: Demonstrate a deep understanding of AI/ML principles, including GenAI-specific approaches. Azure Ecosystem: Leverage knowledge of the Azure ecosystem to establish AI practices within organizations. End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions. MLOPS: Implement best practices for machine learning operations (MLOPS). Qualifications: Experience: Minimum of 6-12 years of relevant experience. Education: Bachelors degree required. Product Management: Excellent product management skills. Agile/Scrum: Familiarity with Agile/Scrum methodologies. Cloud Platforms: Knowledge of cloud big data platforms (Azure). AI/ML: Understanding of AI/ML, including GenAI/LLM solutions. -- Keywords: artificial intelligence machine learning information technology Azure/GenAI Architect Remote [email protected] |
| [email protected] View all |
| Fri Apr 26 03:32:00 UTC 2024 |