DYS Product Specialist 3PS 3 at RICEFW Technologies Inc

Interview - Teams Onsite with the ability to go hybrid/remote based on business needs Job Title: Data & AI Integration Developer Position Summary We are seeking an exceptionally skilled Data & AI Integration Developer for a critical hybrid role at the intersection of database administration full stack development and artificial intelligence. This position is responsible for the full lifecycle of our data-from ensuring the performance and security of our on-premise SQL Server environments to engineering data pipelines into Azure and GCP and integrating that data with AI and Machine Learning services. The ideal candidate has a background in database management or full stack development with broad skills in cloud integration software testing automation and applied AI. You will build and manage integrations develop effective prompts for generative AI and prepare data for ML models. Key Responsibilities Testing & Quality: Write unit tests and integration tests to ensure code quality and actively participate in troubleshooting debugging and resolving application defects. DevOps: Contribute to our CI/CD pipelines and work with cloud platforms (especially Azure) for application deployment and monitoring Management & Performance: Install configure maintain and tune MS SQL Server databases for high performance and availability. Backup & Recovery: Design implement and rigorously test backup and disaster recovery (DR) plans. Security & Compliance: Manage all aspects of database security user access and data masking to meet compliance standards. T-SQL Development: Write test and optimize complex stored procedures triggers and functions. AI & Machine Learning AI Integration: Design build and maintain integrations with third-party and cloud-native AI/ML services (e.g. Azure AI Services Google Vertex AI). Prompt Engineering: Develop test and refine prompts for generative AI and Large Language Models (LLMs) to ensure accurate relevant and consistent outputs for business applications. ML Data Preparation: Collaborate with data scientists to prepare cleanse and structure datasets for ML model training and inference. Automation: Utilize PowerShell and other scripting tools to automate data preparation model deployment pipelines and AI service monitoring. Integration & Business Analysis Cloud Integration: Set up manage and monitor data pipelines between on-premise systems and cloud platforms (Azure and GCP). Documentation: Create and maintain detailed documentation of data flows AI integrations system architectures and business logic. Software Testing: Develop test plans and perform hands-on testing for new software features data integrations and AI-driven functionalities. Development Support: Support development teams by reviewing database interaction code (primarily .NET C# with exposure to Java and Python). Required Qualifications 3-5 years of experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and ecosystem. Working knowledge of .NET (C#). Strong proficiency in writing and optimizing complex T-SQL and stored procedures. Proven experience developing PowerShell scripts for automation. Hands-on experience integrating with AI/ML platforms (e.g. Azure AI Google Vertex AI). Demonstrable experience with prompt engineering for generative AI models. Solid understanding of machine learning concepts and data preparation techniques. Experience setting up and managing data integrations with Azure and/or GCP. Experience with software testing data validation and creating technical documentation. Preferred Qualifications Familiarity with ML libraries and frameworks (e.g. scikit-learn TensorFlow PyTorch). Working knowledge of Python or Java. Experience with SQL Server High-Availability (HA) solutions (e.g. Always On). Experience with SQL Server Integration Services (SSIS) or Azure Data Factory. Microsoft Azure or Google Cloud certifications. Bachelors degree in Computer Science Data Science or equivalent experience. Required/Desired Skills Skill Required /Desired Amount of Experience Candidate years of exp Last Used (Year) experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and ecosystem. Required 4 Strong proficiency in writing and optimizing complex T-SQL and stored procedures. Required 3 Years Proven experience developing PowerShell scripts for automation. Required 3 Years Hands-on experience integrating with AI/ML platforms (e.g. Azure AI Google Vertex AI). Required 3 Years Solid understanding of machine learning concepts and data preparation techniques. Required 3 Years Experience setting up and managing data integrations with Azure and/or GCP. Required 3 Years Experience with SQL Server High-Availability (HA) solutions (e.g. Always On). Highly desired 0 Microsoft Azure or Google Cloud certifications. Highly desired 0 Bachelors degree in Computer Science Data Science or equivalent experience. Highly desired 0 Familiarity with ML libraries and frameworks (e.g. scikit-learn TensorFlow PyTorch). Highly desired 0 Questions No. Question Candidate Response Question1 Do you understand and will abide by the provision in your subcontract with OST that it is PROHIBITED for government equipment to be taken or used outside of the United States by your contractors The consequences of this occurring can and will result in repercussions to you the prime vendor regardless if the candidate works for a sub-vendor of yours. It will also result in immediate termination of the contractor and make them ineligible for rehire in the program. Question2 Where is your candidate currently located (City State) Question3 Does your candidate agree and understand that a fingerprint background check will be required Key Skills Sales Experience,Marketing,Customer Service,Communication skills,Military Experience,Retail Sales,Product Demos,Customer Support,Product Management,Product Development,Unity,Microscopy Employment Type : Full Time Experience: years Vacancy: 1