Senior Microsoft Power Platform Engineer

We are looking for Senior Microsoft Power Platform Engineer for our client in Santa Clara, CA

Job Title: Senior Microsoft Power Platform Engineer

Job Location: Santa Clara, CA

Job Type: Contract

Job Overview:

Pay Range: $55hr - $60hr

Requirement/Must Have:

• 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#.
• 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 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.

Responsibilities:

• Design, develop, and implement AI models and algorithms using Microsoft technologies.
• Collaborate 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.
• Evaluate AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc.) when developing solutions.
• Specify or implement AI platform improvements like fine-tuning or training custom ML models.

Nice to Have:

• 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 business users at all levels.

Education and Experience:

• Bachelor s degree in computer science, equivalent field, or equivalent experience.
• 10+ years experience building web applications.