AI/ML Developer

Job Description As an AI/ML Developer at MKS Instruments, you will partner with the IT Team at MKS to develop, deploy, and optimize AI-driven solutions using advanced AI/ML models. In this role, you will report to the AI Manager. **Key Responsibilities:** - Developing and deploying web applications and scalable serverless functions on Azure Cloud. - Designing and implementing solutions leveraging Azure Open AI Studio and Azure AI Services, including the Chat Playground. - Selecting appropriate large language models (LLMs) based on specific problem descriptions and requirements. - Engineering accurate prompts and optimizing prompt engineering processes to ensure the reliability and efficiency of AI models. - Building and optimizing machine learning models for Natural Language Processing (NLP) tasks. - Collaborating with cross-functional teams to implement and integrate AI-driven solutions into products and services. **Qualifications Required:** - Education: Master's or bachelor's in computer application or related field (or equivalent experience). - Years of job-related work experience: 3-5 years of experience in AI/ML development, with proficiency in machine learning and natural language processing. **Additional Details:** The successful candidate will receive the $250 StartSmart Incentive post-joining. **Preferred Skills:** - Experience in building and maintaining AI-based solutions in a cloud-native environment. - Familiarity with deploying AI models using containers and Azure Kubernetes Service (AKS). - Knowledge of Generative AI and applying it in AI-enabled applications. - Good to have knowledge of Hugging Face Platform. Note: The sections on 'Supervisory Scope' and 'Reporting Relationships' have been omitted as they were marked as optional in the provided job description. As an AI/ML Developer at MKS Instruments, you will partner with the IT Team at MKS to develop, deploy, and optimize AI-driven solutions using advanced AI/ML models. In this role, you will report to the AI Manager. **Key Responsibilities:** - Developing and deploying web applications and scalable serverless functions on Azure Cloud. - Designing and implementing solutions leveraging Azure Open AI Studio and Azure AI Services, including the Chat Playground. - Selecting appropriate large language models (LLMs) based on specific problem descriptions and requirements. - Engineering accurate prompts and optimizing prompt engineering processes to ensure the reliability and efficiency of AI models. - Building and optimizing machine learning models for Natural Language Processing (NLP) tasks. - Collaborating with cross-functional teams to implement and integrate AI-driven solutions into products and services. **Qualifications Required:** - Education: Master's or bachelor's in computer application or related field (or equivalent experience). - Years of job-related work experience: 3-5 years of experience in AI/ML development, with proficiency in machine learning and natural language processing. **Additional Details:** The successful candidate will receive the $250 StartSmart Incentive post-joining. **Preferred Skills:** - Experience in building and maintaining AI-based solutions in a cloud-native environment. - Familiarity with deploying AI models using containers and Azure Kubernetes Service (AKS). - Knowledge of Generative AI and applying it in AI-enabled applications. - Good to have knowledge of Hugging Face Platform. Note: The sections on 'Supervisory Scope' and 'Reporting Relationships' have been omitted as they were marked as optional in the provided job description.