Data & AI Integration Developer c2c

Location: Columbus OH

Visa: Any visa except CPT TN and GC (PP number is mandatory to fetch I94)

Interview - Teams

Onsite with the ability to go hybrid/remote based on business needs

• 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 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.

• 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 ( C# with exposure to Java and Python).

• 3-5 years of experience as a Microsoft SQL Server DBA and/or Strong proficiency in C# and ecosystem.
• Working knowledge (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.

• 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.