AI Engineer

Proficiency in Azure AI and Machine Learning Services:

• Experience with Azure OpenAI Service: Familiarity with using OpenAI's GPT models via Azure, including fine-tuning, deploying, and scaling these models.
• Knowledge of Azure Machine Learning: Proficiency in using Azure Machine Learning for model training, experimentation, and deployment.

Strong Programming and Development Skills:

• Proficiency in Python: Experience with machine learning and AI libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Proficiency in Logic Apps: Experience with Logic apps in Azure.
• Familiarity with RESTful APIs: Ability to integrate AI models with other services and applications using APIs.
• Experience with C# or .NET: Useful for integrating with Azure App Services and other Microsoft-specific development environments.

Experience with Azure Cloud Services:

• Knowledge of Azure App Services: Experience in deploying, managing, and scaling applications using Azure App Services.
• Familiarity with Azure Functions: Understanding of serverless computing for building event-driven applications.
• Experience with Azure Cognitive Services: Knowledge of leveraging other Azure AI capabilities such as Text Analytics

Expertise in Generative AI and Machine Learning Techniques:

• Experience with Generative AI models: Understanding of various generative models (e.g., GPT, GANs) and their applications.
• Understanding of NLP (Natural Language Processing): Proficiency in NLP techniques for text generation, sentiment analysis, and language understanding.
• Knowledge of model evaluation and optimization: Skills in evaluating model performance, hyperparameter tuning, and optimization techniques.

Strong Problem-Solving and Engineering Skills:

• Problem-solving abilities: Ability to troubleshoot and resolve issues related to model performance, scalability, and integration.
• Software engineering best practices: Experience with version control (e.g., Git), CI/CD pipelines, unit testing, and code reviews.
• Collaboration and communication skills: Ability to work effectively with cross-functional teams.