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

Artificial Intelligence/Machine (AI/ML) Learning Engineer

Position Summary:

The Artificial Intelligence/Machine (AI/ML) Learning Engineer plays a vital role in designing, building, and implementing enterprise‑grade AI 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. The role collaborates closely with business units to gather requirements, scope projects, and drive them to resolution while helping to establish and build out the company's AI Center of Excellence (COE).

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.

Education/

Experience:

Bachelor's degree (B.S.) or equivalent from a four‑year college in Computer Science, Data Science, Artificial Intelligence, or a 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). An equivalent combination of education and experience will be considered.

Computer

Skills:

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.

Pay will be determined by factors such as education, experience, skills, internal equity, and market data. Living Spaces reserves the right to modify this pay range at any time. Compensation: $90,000.00 – $.

• Medical
• Dental
• Vision
• 401(k) (full and part‑time eligible)
• Vacation
• Sick Time
• Flex Spending Account
• Employee Assistance Program

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person’s race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam‑era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

Living Spaces participates in E‑Verify. All newly‑hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.