AI/ML Engineer
📍
Dallas, TX
🧪
Entry level
Job Description
We are seeking talented and experienced AI/ML Engineers to join our team. As an AI/ML Engineer, you will play a crucial role in developing cutting-edge solutions leveraging Azure, OpenAI, and Copilot technologies. Your expertise will be key in building and deploying AI and ML models, form recognition systems, and code generation capabilities.
Key Responsibilities
Form Recognizer Azure Expertise:
Qualifications:
We are seeking talented and experienced AI/ML Engineers to join our team. As an AI/ML Engineer, you will play a crucial role in developing cutting-edge solutions leveraging Azure, OpenAI, and Copilot technologies. Your expertise will be key in building and deploying AI and ML models, form recognition systems, and code generation capabilities.
Key Responsibilities
Form Recognizer Azure Expertise:
- 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.
- Leverage Azures 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.
- Apply your knowledge of OpenAIs 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.
- 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:
- Bachelors or Masters 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.