The company is looking to leverage generative AI for business automation, focusing on complex document intelligence, multi-modal data analysis, and advanced image processing. They need to design and implement scalable AI solutions using Azure and Google Cloud platforms, integrating proprietary tools and ensuring robust API management and data governance.
Requirements
- Deep expertise with Azure AI services (including Cognitive Services) and Google Cloud AIML platform.
- Extensive knowledge and practical experience with document processing using Azure Document Intelligence and alternative OCR technologies.
- Mastery of Snowflake for data modeling, warehousing, and integrating with advanced analytics workflows.
- Proficiency with cloud orchestration tools, like GKE Scheduler, and asynchronous communication services (e.g., Google PubSub).
- Advanced expertise in API management using Apigee and related security best practices.
- Proven ability to design and implement Kubernetes-based AI model deployments, including model optimization techniques.
- Strong command of Python for development and automation tasks.
Responsibilities
- Lead the architectural design and implementation of scalable, generative AI-powered solutions for business automation, leveraging both Azure and Google Cloud platforms.
- Architect end-to-end AI model workflows, utilizing Azure AI, and Google AI tools. Focus will be on applications involving complex document intelligence, multi-modal data analysis, and advanced image processing tasks.
- Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution.
- Establish best practices for prompt engineering and iterative refinement to maximize the accuracy and relevance of outputs across diverse data types.
- Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs.
- Champion the integration of the client's proprietary generative AI tools into the architecture and development lifecycles.
- Direct the implementation of robust API management strategies using Apigee for secure and efficient access to AI models and related services.
Other
- Collaborate with cross-functional teams (engineering, data science, business) to translate complex business requirements into robust, scalable AI component designs.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
- Danta offers a compensation package to all W2 employees that are competitive in the industry.
- The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
