| ML Engineer with strong Azure Cloud at Strong, Arkansas, USA |
| Email: [email protected] |
| Preference is given to candidates who currently live in San Antonio, TX, C2C Rate: $80/hr Mode of interview: Virtual Domain: Oil and Gas This role is a very high-level role. The SparkHire is going to be more involved than we usually do. I will include the questions below. Our client is looking for the following; Responsibilities: Position Summary We are seeking a highly skilled ML Engineer with a strong background in Azure Cloud Engineering and Azure Machine Learning (AzureML) to join our team. The successful candidate will be responsible for designing, implementing, and maintaining our machine learning operations infrastructure within AzureML, ensuring efficient model development, deployment, and monitoring processes. Key Responsibilities Monitor Azure Cloud resources, including AzureML environments and model performance, optimizing resource use and addressing issues to maintain high service reliability. Collaborate with data scientists, Hybrid Cloud, and DevOps for seamless ML model integration into production, ensuring scalability and reliability. Design, implement, and manage ML pipelines within AzureML for end-to-end automation of data processing, model training, validation, and deployment. Utilize AzureML for efficient scaling of ML models, applying best practices in version control, CI/CD, and lifecycle management. Manage CI/CD processes for machine learning models using Azure DevOps tools. Stay updated with the latest in Azure AI/ML features, applying best practices to leverage cloud-based AI/ML technologies effectively. Keep abreast of Azure advancements and best practices to enhance cloud-based AI/ML technology utilization. Qualifications Proven (3+ years) experience in Azure Cloud engineering with a strong focus on AzureML, including managing ML workflows. Expertise in Python for AI/ML workflows, proficient with additional scripting languages. Familiar with Azure DevOps (ADO), CI/CD practices, and Azure AI/ML services. Strong foundation in AI/ML principles, with practical experience in deploying models at scale. Holds a Bachelors or Masters degree in Computer Science, Engineering, or related field, demonstrating a comprehensive understanding of both theoretical and applied aspects of machine learning and software engineering. Proven track record of successful AI/ML model deployments in Azure. Azure DP-100 Certification preferred. Please send me each of your candidates' information in a separate email and have them complete the Spark Hire THEN I will call them. There is a second Spark Hire to be completed after this - but I will send it to you after I view a candidate's first interview Spark Hire Link: https://hire.li/5Zi_-szpAaajc8dWX4wBK It will ask the candidates a few questions about their experience and the questions are below. Camera and microphone are on - a suit and tie are not necessary at all, but a collared shirt and clean background go a long way. This should be a natural response - so please do not read off of a resume. As soon as this is completed I will give the candidates a call, talk to them a little about the job requirements, and submit them. Thanks and Regards Adarsha Limma Business Development Executive at Triano Technologies. :[email protected] 325 Illinois St, Glen Ellyn, IL 60137 Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology golang Illinois Texas ML Engineer with strong Azure Cloud [email protected] |
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| Mon Jul 22 21:26:00 UTC 2024 |