Technical Lead - AI/ ML

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.
• 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.
• 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.
• 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.
• Design and refine prompts for language models to improve output quality and relevance.