- Utilize Azure Form Recognizer to design, develop, and deploy solutions for automated document processing and form recognition.
- Collaborate with cross-functional teams to extract structured data from unstructured documents efficiently.
Azure AI ML Proficiency:
- Leverage Azure's AI and ML services to develop and deploy machine learning models, ensuring scalability, reliability, and performance.
- Work on data ingestion, preprocessing, model training, and deployment pipelines within the Azure ecosystem.
OpenAI & Prompt Engineering:
- Apply your knowledge of OpenAI's GPT-3.5 architecture and prompt engineering techniques to create natural language understanding and generation solutions.
- Design and fine-tune prompt-based models to meet specific application requirements.
Copilot Implementation and Code Generation:
- Implement Copilot, leveraging its code generation capabilities to streamline software development tasks.
- Generate code snippets and automation scripts in various programming languages to enhance developer productivity.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience in machine learning and artificial intelligence, with a focus on Azure, OpenAI, and Copilot.
- Strong programming skills in multiple languages.
- Proficiency in data preprocessing, feature engineering, and model development.
- Knowledge of natural language processing (NLP) and computer vision is a plus.
- Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Strong problem-solving skills and a passion for staying up-to-date with the latest advancements in AI/ML technologies.