Overview
On Site
$CAD $65 / hr
Contract - W2
Contract - to 12/31/2025
Skills
Microsoft Power Platform Developer
Job Details
Job Description:
- XXgn, develop, and implement AI models and algorithms using Microsoft technologies.
- CollaboXX with data scientists and business stakeholders to understand requirements and design effective AI solutions.
- Build and maintain scalable, high-performance AI infrastructure on the Microsoft Azure platform, AI Builder and Co-pilot with Dynamics.
- Develop and deploy machine learning models using Machine Learning, Cognitive Services, Bot Framework, and other Azure AI tools.
- Optimize AI algorithms for performance and scalability.
- Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.
- Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions.
- Specifies or implements AI platform improvements like fine-tuning or training custom ML models.
- Experience with Power Apps, Power automate, Plugins, AI Builder, CoPilot and related architecture and design practices.
- Experience with Azure, Azure DevOps for CI/CD and C#.net.
- Proven experience in developing and deploying AI models and algorithms.
- Proficiency in programming languages such as Python, Java, or C#.
- Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
- Experience in the following technologies.
- Microsoft Dynamic 365 Customer Engagement
- Experience of iterative / agile development practices.
- Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
- Excellent communication skills.
- Bachelor's degree in computer science, equivalent field, or equivalent experience. 5+ years' experience building web applications.
- Dynamics / Power Platform / Azure certifications.
- Familiar with basic Machine Learning concepts.
- Knowledge of Enterprise Architecture Patterns
- Experience with full lifecycle application testing (functional, regression, performance, integration, etc.) and delivery management.
- Comfortable with direct interaction with the business users at all levels.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.