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:
o Expertise in Python and development of Stream Lit web applications.
o Strong experience with Azure Open AI Studio and Azure AI Services.
o Proficient in selecting and integrating large language models (LLMs) based on problem requirements.
o Solid experience in Prompt Engineering and optimizing model outputs.
o Proven track record of developing and deploying web apps and serverless functions on Azure Cloud.
o Robust experience with Visual Studio Code, Python, and Azure DevOps for development and continuous integration.
o 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
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Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to various export control regulations. Applicants for these positions may be limited (by, for example, their countries of citizenship, country of origin, or immigration status) where required by law or governmental contact, and/or employment made contingent upon the issuance of appropriate governmental licensing.
MKS Inc. and its affiliates and subsidiaries (“MKS”) is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.
MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at: [email protected] .
If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role
