Back
Specialized ML/LLM and Azure skills but weaker brand and unspecified location, so moderate applicant density.
Role demands ML/LLM and Azure-specific experience, making background and platform fit highly important.
Requires specific Azure OpenAI, LLM, prompt-engineering, and deployment skills, indicating strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy scalable AI/ML applications focused on natural language processing using Python, Streamlit, and Azure Cloud services.
Select, fine-tune, and implement large language models through prompt engineering to enhance AI-driven solutions.
Utilize Azure OpenAI Studio and Azure AI Services for training, deploying models and serverless application functionalities.
Proven experience in Machine Learning, NLP, Python, and Streamlit application development.
Familiarity with Azure OpenAI Studio, Azure AI Services, and deployment of serverless functions on Azure Cloud.
Work Experience Required: Not explicitly mentioned in the JD.
Candidates must reside in states where MKS is registered to do business; background checks and drug screens applicable.
Experience working with large language models including model selection and prompt engineering for customized AI outputs.
Proficient in building and scaling cloud-based AI applications using Azure AI tools and serverless architecture.
Capable of integrating AI/ML models seamlessly into web applications with strong understanding of AI model performance optimization.