Data and AI integrator Developer

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Able to Provide Sponsorship

Skills

.NET
Artificial Intelligence
Automated Testing
Backup
C#
Cloud Computing
Continuous Delivery
Continuous Integration
Data Flow
Data Masking
Data Science
Data Validation
Database Administration
Database Security
Debugging
DevOps
Disaster Recovery
Generative Artificial Intelligence (AI)
Google Cloud Platform
High Availability
Google Cloud
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft Azure
Microsoft SQL Server
Microsoft SSIS
PyTorch
Python
Scripting
Java
Stored Procedures
TensorFlow
Test Plans
Prompt Engineering
Regulatory Compliance
Technical Writing
Good Clinical Practice
Transact-SQL
Vertex
Windows PowerShell
Recovery

Job Details

One of our clients is looking for the position of (Product Specialist)Data & AI Integration Developer based on following skills:

Interview - Teams

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

Job Title:

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 Google Cloud Platform 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 Google Cloud Platform).
  • 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 the .NET ecosystem.
  • Working knowledge of .NET (C#).
  • Strong proficiency in writing and optimizing complex T-SQLand stored procedures.
  • Proven experience developing PowerShellscripts for automation.
  • Hands-on experience integrating with AI/ML platforms(e.g., Azure AI, Google Vertex AI).
  • Demonstrable experience with prompt engineeringfor generative AI models.
  • Solid understanding of machine learning conceptsand data preparation techniques.
  • Experience setting up and managing data integrations with Azureand/or Google Cloud Platform.
  • 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 Pythonor 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.
  • Bachelor's degree in Computer Science, Data Science, or equivalent experience.

The successful candidate may have to undergo a drug test and background check.


Sincerely,

Tamana Nair

Digitek Software, Inc.

650 Radio Drive, Lewis

Center, OH 43035 Tel No ext. 3105/ Fax

Email

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