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Hiring companyMKS Instruments

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Technical Lead - AI/ ML

Gurgaon, India Full-time On-site

About the role

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. Responsibilities include developing and implementing machine learning models, applying statistical analysis to large datasets, optimizing models for performance and scalability, developing and deploying web applications with Python and Streamlit, ensuring seamless integration of AI/ML models, evaluating and selecting large language models, fine-tuning models for specific use cases, designing and refining prompts, experimenting with prompt engineering techniques, utilizing Azure OpenAI Studio and Azure AI Services, building scalable serverless functions on Azure Cloud, and implementing best practices.

What you’ll do

  • 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 deploy web applications using Python and Streamlit.
  • Ensure seamless integration of AI/ML models within web applications.
  • Evaluate and select appropriate large language models based on problem descriptions.
  • Implement and fine-tune models for specific use cases.
  • Design and refine prompts for language models to improve output quality and relevance.
  • Experiment with various prompt engineering techniques to enhance AI-driven solutions.
  • 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.
  • Develop and deploy AI/ML-powered applications on Azure Cloud.
  • Ensure applications are scalable, efficient, and maintainable.
  • Implement best practices.

What you’ll bring

  • Strong background in Machine Learning, NLP, and Python.
  • Experience developing and deploying AI-driven applications using Streamlit.
  • Experience with Azure Cloud services.

Skills

Machine LearningNLPPythonStreamlitAzure OpenAI StudioAzure AI ServicesPrompt EngineeringLarge Language ModelsAzure CloudServerless functions