| Azure Machine Learning Architect at Santa Clara, California, USA |
| Email: [email protected] |
| From: Cauvery Priyadarshini, Vyze Inc. [email protected] Reply to: [email protected] Hi, This is Cauvery from Vyze Inc. Please find the below position , if youre comfortable with the JD kindly revert me bacK . Job Description - Title: Azure Machine Learning Architect CITIZEN, GC EAD Location: Santa Clara, CA (Hybrid) Need a local Duration: 6+ months MOI: Skype Job Description: As an Azure Machine Learning Architect, you will play a pivotal role in designing, implementing, and optimizing machine learning solutions on the Azure platform. You will collaborate with data scientists, engineers, and stakeholders to architect scalable and efficient machine learning pipelines, models, and services. Your expertise in Azure ML services and best practices will contribute to the success of data-driven initiatives within the organization. Responsibilities: 1. Solution Architecture: Design end-to-end machine learning solutions leveraging Azure ML services, considering factors such as scalability, performance, security, and cost efficiency. 2. Infrastructure Design: Architect cloud-based infrastructure and resources required for training, deploying, and managing machine learning models using Azure resources like Azure Databricks, Azure Kubernetes Service (AKS), Azure VMs, etc. 3. Model Development: Collaborate with data scientists to develop and deploy machine learning models using Azure ML pipelines, ensuring best practices for model versioning, tracking, and reproducibility. 4. Data Integration: Integrate diverse data sources and preprocess data for training and inference, using Azure Data Factory, Azure Data Lake, or other relevant Azure services. 5. Deployment and Monitoring: Deploy models to production environments using Azure ML deployment technologies like Azure ML Service, Azure Functions, or AKS, and establish monitoring mechanisms for model performance, drift, and health. 6. Security and Compliance: Implement security measures, access controls, and data protection protocols in accordance with organizational policies and regulatory requirements. 7. Optimization: Continuously optimize machine learning pipelines and models for performance, cost, and resource utilization using techniques like distributed computing and model quantization. 8. Documentation: Create technical documentation, architecture diagrams, and guidelines for the development team and stakeholders. 9. Collaboration: Collaborate with cross-functional teams including data scientists, software engineers, DevOps, and business stakeholders to align machine learning initiatives with business objectives. Qualifications and Skills: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - Proven experience in designing and architecting machine learning solutions on the Azure platform. - In-depth knowledge of Azure ML services, Azure Databricks, AKS, Azure Data Factory, and other relevant Azure services. - Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn. - Strong understanding of machine learning principles, data preprocessing, and feature engineering. - Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). - Excellent problem-solving and communication skills. - Experience with DevOps practices and CI/CD pipelines for machine learning models is a plus. - Relevant Azure certifications (such as Azure AI Engineer or Azure Data Scientist) are advantageous. Thanks and Regards. Cauvery Priyadarshini US IT Recruiter Vyze INC (An E- VerifiedCompany) Email: [email protected] 25179 Methley Plum Place, Aldie, VA 20105 www.vyzeinc.com Disclaimer: This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] . Keywords: continuous integration continuous deployment artificial intelligence machine learning rlang information technology green card California Virginia |
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| Tue Sep 26 00:48:00 UTC 2023 |