Design, build, and maintain robust AI/ML solutions to ensure reliable decision-making across the enterprise
Sustain AI enterprise offerings by orchestrating workflows and monitoring the overall health of AI solutions to ensure continuous availability and performance
Create, update, and optimize AI models, datasets, and transformations to align with business needs
Troubleshoot and resolve issues, ensuring consistent and correct data flow from source systems
Collaborate with cross-functional teams to uphold security standards and ensure accurate data is available for use
Utilize AI/ML frameworks (e.g., PyTorch, TensorFlow) to establish data connections to source applications
Utilize software frameworks such (e.g., Semantic Kernel, Prompt Flow, LangChain) to integrate LLM’s into applications
Develop and manage AI model cleansing, consolidation, and integration mechanisms to support big data analytics at scale
Build visualizations using AI tools and assist business users with testing, troubleshooting, and documentation creation

Requirements

Master’s Degree in Computer Science, Computer Engineering, Information Technology or have completed your Master’s degree within the last 12 months
Proficiency in Python, JavaScript, TypeScript, C# or other scripting languages for AI/ML processing and automation
Experience with Microsoft tools such as Azure Data Factory (ADF), AI Search, and Document Intelligence
Experience working in GCCH Azure Environment
Knowledgeable in API integration and development
Experience with Agile principles and development processes
Excellent interpersonal and effective communication skills
Certified Microsoft Azure AI Engineer

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsML solutionsPythonJavaScriptTypeScriptC#API integrationAgile principlesbig data analyticsdata transformations

Soft Skills

interpersonal skillseffective communication

Certifications

Microsoft Azure AI Engineer