ML Engineer with Azure

Role: ML Engineer with Azure

Location: San Antonio Tx 4 days per week

Contract Length: 12 Months with possible extension

Job Description

Position Summary

• We are seeking a highly skilled Azure Cloud Engineer with a strong background in Azure Cloud Infrastructure Microsoft Intelligent Data Platform (ADLS Azure Synapse) and Azure Machine Learning (AzureML) to join our Data Science & AI team.
• This role is critical to our mission of using AI to achieve improved safety sustainability and responsibility.
• The ideal candidate will be responsible for designing implementing and maintaining our entire AI/ML environment within Azure including the machine learning operations infrastructure.
• Youll ensure efficient model development deployment and monitoring processes working closely with Data Scientists and ML Engineers to guarantee a smooth transition from development to production.

Key Responsibilities

• As an Azure Cloud Engineer on our Data Science & AI team you will play a critical role in designing implementing and maintaining our AI/ML environment within Azure.
• Youll collaborate closely with Data Scientists Hybrid Cloud and DevOps engineers to ensure a seamless transition of ML models from development to production.
• Heres a breakdown of your key responsibilities:
• Azure Cloud Management:
• Manage and maintain the Microsoft Azure cloud infrastructure services and solutions relevant to AI/ML operations.
• Use Microsoft Infrastructure as Code (IaC) and Terraform pipelines for deploying Azure resources.
• Monitor Azure Cloud resources including Azure AI services AzureML environments and model performance optimizing resource use and addressing issues to maintain high service reliability.
• Machine Learning Operations (MLOps):
• Design implement and manage endtoend ML pipelines within AzureML for data processing model training validation and deployment.
• Utilize AzureML for efficient scaling of ML models applying best practices in version control CI/CD (using Azure DevOps tools) and lifecycle management.
• Collaboration and Integration:
• Collaborate with Data Scientists ML Engineers Hybrid Cloud and DevOps engineers to ensure seamless integration of AI/ML models into production focusing on scalability and reliability.

Additional Skills:

• Stay updated with the latest advancements in Azure AI/ML features and best practices to leverage cloudbased AI/ML technologies effectively.

Qualifications

• To be successful in this role you will ideally possess the following qualifications:
• Bachelors or Masters degree in Computer Science Engineering or a related field demonstrating a comprehensive understanding of both theoretical and applied aspects of cloud engineering/infrastructure.
• 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 (e.g. Bash PowerShell).
• Familiarity 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.
• Proven track record of successful AI/ML model deployments in Azure.
• Azure DP100 Certification preferred.

Why Join Us:

Join our cuttingedge Data Science & AI team and contribute to the future of AI/ML technology! In this role youll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives.

Heres what you can expect:

• Be at the forefront of AI/ML advancements applying your skills to solve realworld problems.
• Collaborate with a talented team of Data Scientists ML Engineers and cloud experts.
• Work in a fastpaced environment that fosters continuous learning and growth.
• Make a significant impact on the companys success through the power of AI/ML.

MACHINE LEARNING , ML , PYTHON , DEVOPS , CI/CD , AZURE , DATA PROCESSING