Artificial Intelligence​/Machine; AI​/ML Learning Engineer

Artificial Intelligence/Machine (AI/ML) Learning Engineer page is loaded## Artificial Intelligence/Machine (AI/ML) Learning Engineer locations:
La Mirada, CA - Corporate time type:
Full time posted on:
Posted Yesterday job requisition :
R41460## Position Summary The Artificial Intelligence/Machine (AI/ML) Learning Engineer plays a vital role in designing, building, and implementing enterprise-grade Artificial Intelligence and Machine Learning solutions. This position focuses on leveraging the Microsoft and Azure stack to create and deploy intelligent automation, predictive analytics, and other AI-powered tools. This role will collaborate closely with business units to gather requirements and scope projects, and drive them to resolution, while also helping to establish and build out the company's AI Center of Excellence (COE).##

Position Description
** Essential Duties and Responsibilities
** include the following.  Other duties may be assigned.
* Design and implement end-to-end AI and Machine Learning solutions, platforms, and tools.
* Develop solutions focused on Intelligent Automation and Predictive Analytics.
* Build and deploy models predominantly within the Microsoft and Azure Stack (e.g., Azure ML, Cognitive Services, Azure Databricks).
* Leverage the Google Vertex AI Stack(e.g., Big Query, Vertex

AI, Imagen, Veo, Gemini API and Agentic Platform) where the toolset meets the business need.
* Collaborate with business stakeholders to gather user requirements, define project scope, and translate needs into technical specifications.
* Assist in the development, documentation, and governance of the AI Center of Excellence (COE).
* Drive AI/ML projects from initial conception and design through to deployment, monitoring, and resolution.
* Design and conduct experiments and tests with a focus on model performance, scalability, and accuracy.
* Collaborate with data engineers, developers, and other IT personnel to design and integrate compatible solutions.
* Evaluate existing systems and provide advice on integrating new AI/ML capabilities.
* Stay current with the latest advancements in AI, machine learning, and the Azure ecosystem.## Qualifications
** Education/

Experience:

** Bachelor's degree (B. S.) or equivalent from four-year college in Computer Science, Data Science, Artificial Intelligence, or related field preferred.  3-5+ years of hands-on experience in data science, machine learning, or AI engineering. Demonstrable experience with the Microsoft and Azure AI stack (e.g., Azure ML, Azure Cognitive Services, Azure Databricks, Power BI). Equivalent combination of education and experience will be considered.
** Computer

Skills:

** To perform this job successfully, an individual must have the following core capabilities.  Proficiency in programming languages such as Python or R. Deep experience with the Microsoft Azure AI stack:
Azure Machine Learning, Cognitive Services, Azure Databricks, Azure Data Factory.

Experience with ML frameworks and libraries (e.g., Scikit-learn, Tensor Flow, PyTorch). Strong understanding of data modeling, data warehousing, and predictive analytics. Knowledge of MLOps principles and tools for model deployment and management.
** Certificates and Licenses:
** CCNA / CCNP preferred but not required.
*
* Supervisory Responsibilities:

** This position will not have supervisory responsibilities.## ##
** Position Hiring Range
** The hiring pay range provides a guide for what we would reasonably pay for the position.
Pay will be determined by several factors, including but not limited to: applicant’s education, relevant work experience, knowledge, skills and abilities, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this pay range at any time. Pay is determined by various factors including market demand, applicable skills, work experience and education, location, company budget, and in-demand skill sets.

Compensation: $90,000.00 - $Retail, Guest Services, and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI’s.Benefits Include:
* Medical* Dental
* Vision* 401(k) (full and part time…