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
