ML Engineer with Azure

4 weeks ago

San Antonio, United States Stellar IT Solutions LLC Full time

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

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