AI/ML Lead

A Day in Your Life at MKS:

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 .