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A Day in Your Life at MKS: We are seeking a skilled AI/ML Developer with a strong background in Machine Learning, Natural Language Processing (NLP), and Python. The ideal candidate will have experience in developing and deploying AI-driven applications, particularly using Streamlit for web applications, and working with Azure Cloud services. You will be responsible for selecting appropriate large language models based on problem descriptions, conducting prompt engineering, and utilizing Azure OpenAI Studio and Azure AI Services to build scalable, serverless applications. Key Responsibilities: Machine Learning & NLP:Develop and implement machine learning models, particularly in natural language processing. Apply statistical analysis and machine learning techniques to large datasets. Optimize and fine-tune models for performance and scalability. Python & Streamlit:Develop and deploy web applications using Python and Streamlit. Ensure seamless integration of AI/ML models within web applications. Large Language Model Selection:Evaluate and select appropriate large language models based on problem descriptions. Implement and fine-tune models for specific use cases. Prompt Engineering:Design and refine prompts for language models to improve output quality and relevance. Experiment with various prompt engineering techniques to enhance AI-driven solutions. Azure OpenAI Studio & Azure AI Services:Utilize Azure OpenAI Studio to develop, train, and deploy AI models. Leverage Azure AI services, including the Chat Playground, to build intelligent applications. Develop and Deploy scalable serverless functions on Azure Cloud. Application Development & Deployment:Develop and deploy AI/ML-powered applications on Azure Cloud. Ensure applications are scalable, efficient, and maintainable. Implement best practices . A Day in Your Life at MKS: We are seeking a skilled AI/ML Developer with a strong background in Machine Learning, Natural Language Processing (NLP), and Python. The ideal candidate will have experience in developing and deploying AI-driven applications, particularly using Streamlit for web applications, and working with Azure Cloud services. You will be responsible for selecting appropriate large language models based on problem descriptions, conducting prompt engineering, and utilizing Azure OpenAI Studio and Azure AI Services to build scalable, serverless applications. Key Responsibilities: Machine Learning & NLP:Develop and implement machine learning models, particularly in natural language processing. Apply statistical analysis and machine learning techniques to large datasets. Optimize and fine-tune models for performance and scalability. Python & Streamlit:Develop and deploy web applications using Python and Streamlit. Ensure seamless integration of AI/ML models within web applications. Large Language Model Selection:Evaluate and select appropriate large language models based on problem descriptions. Implement and fine-tune models for specific use cases. Prompt Engineering:Design and refine prompts for language models to improve output quality and relevance. Experiment with various prompt engineering techniques to enhance AI-driven solutions. Azure OpenAI Studio & Azure AI Services:Utilize Azure OpenAI Studio to develop, train, and deploy AI models. Leverage Azure AI services, including the Chat Playground, to build intelligent applications. Develop and Deploy scalable serverless functions on Azure Cloud. Application Development & Deployment:Develop and deploy AI/ML-powered applications on Azure Cloud. Ensure applications are scalable, efficient, and maintainable. Implement best practices .
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