A Day in Your Life at MKS:
As an AI/ML Developer at MKS Instruments, you will partner with the IT Team MKS to develop, deploy, and optimize AI-driven solutions using advanced AI/ML models. In this role, you will report to the AI Manager.
Note : The successful candidate will receive the $250 StartSmart Incentive post-joining.
Make an Impact By:
- 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.
- Travel Requirements: Need basis.
Skills You Bring:
- 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.
- Required Experience or Technical Skills:
- Expertise in Python and development of Stream Lit web applications.
- Strong experience with Azure Open AI Studio and Azure AI Services.
- Proficient in selecting and integrating large language models (LLMs) based on problem requirements.
- Solid experience in Prompt Engineering and optimizing model outputs.
- Proven track record of developing and deploying web apps and serverless functions on Azure Cloud.
- Robust experience with Visual Studio Code, Python, and Azure DevOps for development and continuous integration.
- Knowledge of LLM, NLP, and other structured and Time Series based Data Analysis and Predictive models.
Preferred Skills: (Optional)
- 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.
Supervisory Scope: (Optional)
Reporting Relationships: Reports to the AI & Data Science Manager
