Microsoft AI Engineer

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Company: Cynet Systems

Location: New York, NY 10025

Description:

Job Description:

Pay Range: $55hr - $60hr

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.
  • Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions.
  • Specifies orimplements AI platform improvements like fine-tuning or training custom ML models.
Required Skills:
  • 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 Tensor Flow, Py Torch, 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 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.
  • 5+ years' experience building web applications.

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