A Day in Your Life at MKS: As an AI/ML Developer at MKS Instruments, you will partner with the IT Team at MKS to develop, deploy, and optimize AI and Machine Learning solutions using traditional ML techniques and advanced Generative AI models. In this role, you will report to the AI & Data Science Manager. Make an Impact By: Developing and deploying web applications and scalable serverless functions on Azure Cloud. Designing and implementing AI/ML solutions using Azure OpenAI Studio and Azure AI Services, including Chat Playground. Developing, training, evaluating, and optimizing Machine Learning models for predictive analytics, forecasting, classification, regression, and NLP use cases. Selecting appropriate Large Language Models (LLMs) based on business requirements and use cases. Engineering effective prompts and optimizing prompt engineering to improve AI solution accuracy and performance. Building AI-powered applications by integrating Machine Learning, NLP, and Generative AI capabilities. Collaborating with cross-functional teams to implement and integrate AI-driven solutions into enterprise applications. Travel Requirements: Need basis. Skills You Bring: Education: Bachelor's or Master's degree in Computer Applications, Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Experience: 3–5 years of experience in AI/ML development with strong hands-on experience in Machine Learning, Natural Language Processing (NLP), and Generative AI. Required Technical Skills: Strong expertise in Python and developing Streamlit web applications. Hands-on experience in developing, training, evaluating, and deploying Machine Learning models for predictive analytics, forecasting, classification, and regression. Good understanding of feature engineering, model evaluation, and model performance optimization. Strong experience with Azure OpenAI Studio, Azure AI Services, Azure AI Foundry, and Azure AI Search. Experience selecting and integrating appropriate Large Language Models (LLMs) based on business requirements. Strong expertise in Prompt Engineering and Retrieval-Augmented Generation (RAG). Proven experience developing and deploying web applications and scalable Azure Functions on Azure Cloud. Experience with Visual Studio Code, Python, and Azure DevOps for application development and CI/CD. Experience with ML frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Preferred Skills (Optional) Experience building and maintaining cloud-native AI/ML solutions. Familiarity with deploying AI/ML models using containers and Azure Kubernetes Service (AKS-Optional). Experience with MLOps, model monitoring, and CI/CD for ML deployments. Knowledge of Hugging Face models and ecosystem. 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: accommodationsatMKS@mksinst.com . If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role At MKS, it's all about courage, big ideas, and a serious passion for innovation. Winning here is about exploring possibilities, taking action, and solving our customers’ toughest challenges. It's not just a job – it's what you make of it. While you shape your role and make it unique, we invest in you with on-the-job and formal training, as well as educational assistance. Curiosity is key at MKS - ask questions, own your path. Our success comes from celebrating the unique skills, diverse perspectives, and lived experience of employees from over 100 countries. The goal is to make sure that everyone feels that they belong. Diversity isn't just a nice-to-have; making sure everyone feels included is a big deal for us. Our group of ~10,000 employees serves semiconductor manufacturing, electronics and packaging, and specialty industrial markets. With over 3,800 patents, our products are enabling advancements in 5G, renewable energy & storage, artificial intelligence, cloud technology, and big data. We're the behind-the-scenes support for some amazing technology. MKS Instruments enables technologies that transform our world. MKS Instruments Product Overview

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22 Oct, 2026

Mksinst

Finishing operator/מבקר/ת איכות

Israel Karmiel

Salary not listed

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