- Developing and deploying web applications and scalable serverless functions on Azure Cloud.
- Designing and implementing solutions leveraging Azure Open AI Studio and Azure AI Services, including the Chat Playground.
- Selecting appropriate large language models (LLMs) based on specific problem descriptions and requirements.
- Engineering accurate prompts and optimizing prompt engineering processes to ensure the reliability and efficiency of AI models.
- Building and optimizing machine learning models for Natural Language Processing (NLP) tasks.
- Collaborating with cross-functional teams to implement and integrate AI-driven solutions into products and services.
- Travel Requirements: Need basis.
- Education: Master's or bachelor’s in computer application or related field (or equivalent experience).
- Years of job-related work experience: 3-5 years of experience in AI/ML development, with proficiency in machine learning and natural language processing.
- Required Experience or Technical Skills:
- Expertise in Python and development of Stream Lit web applications.
- Strong experience with Azure Open AI Studio and Azure AI Services.
- Proficient in selecting and integrating large language models (LLMs) based on problem requirements.
- Solid experience in Prompt Engineering and optimizing model outputs.
- Proven track record of developing and deploying web apps and serverless functions on Azure Cloud.
- Robust experience with Visual Studio Code, Python, and Azure DevOps for development and continuous integration.
Preferred Skills: (Optional)
- Experience in building and maintaining AI-based solutions in a cloud-native environment.
- Familiarity with deploying AI models using containers and Azure Kubernetes Service (AKS).
- Knowledge of Generative AI and applying it in AI enabled applications.
- Good to have knowledge of Hugging Face Platform.
TBD