Azure AI/ML Engineer for Enterprise Solutions

Living Spaces Furniture; La Mirada (CA); Sur place; USD 105 000 - 140 000; Plein temps

Avantages offerts par ce poste

Medical (full-time)

Dental (full-time)

Vision (full-time)

401(k) with Company match

Vacation

Paid Sick Leave

Flex or Health Spending Account

Employee Assistance Program

Holiday pay

Life insurance

Résumé du poste

Living Spaces Furniture is seeking an AI/ML Learning Engineer to design, build, and deploy enterprise-grade AI solutions leveraging Microsoft and Azure stacks. You will focus on intelligent automation, predictive analytics, and COE development across business units.

The role requires 3-5+ years of hands-on experience with Azure AI tools, Python/R programming, and modern ML frameworks, enabling end-to-end model lifecycle from concept to production.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI or related field preferred.
• 3-5+ years of hands-on data science, ML, or AI engineering experience.
• Demonstrable experience with the Microsoft and Azure AI stack (Azure ML, Cognitive Services, Azure Databricks, Power BI).

Responsabilités

• Design and implement end-to-end AI/ML solutions and platforms.
• Develop solutions focused on Intelligent Automation and Predictive Analytics.
• Build and deploy models using Azure stack and Vertex AI where needed.
• Collaborate with stakeholders to gather requirements and define scope.
• Lead COE governance and contribute to AI initiatives across the company.
• Drive AI/ML projects from concept to deployment and monitoring.
• Conduct experiments to improve model performance and scalability.
• Work with data engineers and IT to integrate solutions.

Connaissances

Python

R

Azure AI stack

Scikit-learn

TensorFlow

PyTorch

Data modeling

MLOps

Formation

Bachelor's degree in CS/Data Science/AI or related field

Outils

Azure Machine Learning

Cognitive Services

Azure Databricks

Power BI

Description du poste

Living Spaces Furniture is seeking an AI/ML Learning Engineer to design, build, and deploy enterprise-grade AI solutions leveraging Microsoft and Azure stacks. You will focus on intelligent automation, predictive analytics, and COE development across business units.

The role requires 3-5+ years of hands-on experience with Azure AI tools, Python/R programming, and modern ML frameworks, enabling end-to-end model lifecycle from concept to production.