Sr Developer AI/ML

at  CLOUDRAY INC

REQUIREMENTS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ Years of proven experience as a software developer with expertise in Azure AI services, including but not limited to:
• Azure OpenAI Service
• Azure AI Translator
• Azure AI Content Safety
• Azure AI Studio
• Azure AI Search (including Azure OpenAI Vector/Semantic search)
• Azure AI Language
• Azure AI Vision
• 8+ years of strong programming skills in languages such as Python, C#, or Java.
• 3+ years of experience designing and implementing database schemas using relational databases, such as Microsoft SQL Server or Azure SQL Database.
• Familiarity with vector databases like Azure Cosmos DB, including their capabilities and use cases in handling complex data structures efficiently.
• In-depth knowledge of database management concepts, including data modeling, normalization, indexing, and query optimization.
• Experience with cloud-based database solutions, preferably Azure Database services.
• Excellent problem-solving skills and ability to work in a collaborative team environment.
• Strong communication and interpersonal skills.
• Ability to adapt to evolving requirements and prioritize tasks effectively.

• Collaborate with cross-functional teams to architect and develop multi-lingual generative AI functionality using Azure AI services, including Azure OpenAI Service, Azure AI Translator, and Azure AI Content Safety.
• Implement scalable algorithms and models for content generation aligned with objectives across multiple languages, including Arabic.
• Utilize Azure AI Studio for streamlined development, testing, and deployment of AI models.
• Ensure seamless integration of multi-lingual AI-powered modules into various platforms, maintaining compatibility and interoperability with existing systems.
• Utilize Azure AI Search, including Azure OpenAI Vector/Semantic search capabilities, for efficient data retrieval and indexing functionalities.
• Design and implement database schemas to support the storage and retrieval of multi-lingual content, user data, and system configurations.
• Incorporate vector databases like Azure Cosmos DB to handle complex data structures efficiently.
• Develop robust user management tools to administer access privileges and role-based permissions across diverse contexts.
• Implement hierarchical user structures with multi-lingual support.
• Conduct rigorous testing and debugging of AI-generated content and functionalities to ensure accuracy and reliability across various languages.
• Establish monitoring mechanisms to track performance metrics and gather user feedback for continuous improvement of AI modules.
• Create comprehensive technical documentation for AI algorithms, models, and integrations, focusing on implementation details and system architecture.