Salary
💰 $72,000 - $153,500 per year
Tech Stack
AzureJavaScriptPythonPyTorchTensorflowTypeScript
About the role
- 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 by extracting and loading data that meets functional and technical specifications
- Utilize software frameworks (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, including AI service maintenance guides
Requirements
- Must be pursuing a Master’s Degree in Computer Science or Computer Engineering or have completed a Master’s degree within the last 12 months
- Strong working knowledge in application development, artificial intelligence, machine learning, and generative AI
- Proficiency in Python, JavaScript, TypeScript, C# or other scripting languages for AI/ML processing and automation
- Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow)
- Experience with software frameworks (e.g., Semantic Kernel, Prompt Flow, LangChain) to integrate LLMs into applications
- 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
- Passion for continuous learning and working in a fast paced, dynamic team environment
- Certified Microsoft Azure AI Engineer (preferred)