Description

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 font-family: Aptos,

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  

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

Desired Skills:

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

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

Key Skills

Education

Bachelor's degree