×
Register Here to Apply for Jobs or Post Jobs. X

Sr. AI​/ML Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: University of Phoenix
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 115357 USD Yearly USD 115357.00 YEAR
Job Description & How to Apply Below

5 days ago Be among the first 25 applicants

Job Description:

The University of Phoenix, Inc. seeks an Sr. AI/ML Data Engineer in Phoenix, AZ to translate ambiguous business questions into specific quantitative questions, using data to resolve business planning and optimization issues. Design, coordinate, and execute pilots or proof of concepts to assess the viability and business value of new technologies.

Collaborate with cross-functional teams in data, analytics, governance, and legal to deploy data science and AI/ML solutions. Apply graduate-level thought and analysis. Derive actionable insights and recommendations to ensure compliance and alignment with organizational policies. Evaluate new data sources and analytics platforms, ensuring optimal utilization and alignment with business needs. Develop and implement continuous integration and deployment (CI/CD) pipelines for machine learning models to ensure scalability.

Orchestrate tools for managing machine learning workflows and enhancing efficiency and effectiveness. Utilize coding skills to write queries, troubleshoot errors, and manage third-party libraries. Create infrastructure and code to contribute to the scalability and reliability of AI solutions. May telecommute from anywhere in the United States 5 days a week. Annual Salary: $115,357.

Minimum Requirements:

Requires a Master’s degree in Computer Science, Computer Engineering, Management Information Systems, Electrical Engineering, Electronic Engineering or related field plus 3 years of AI/MI data engineering experience in:

  • Data analytics, algorithms, machine learning frameworks, and structured/unstructured data;
  • SQL and optimizing performance of SQL statements;
  • Building and managing datasets for Generative AI use cases;
  • Cloud services, data engineering, and AI/ML lifecycle management;
  • Informatica, SSIS, SSAS, HVR, Airflow, GLUE data transformation tools;
  • SQL, Python, S3, Redshift, Tableau, Power B data analytics technologies;
  • LLMs, RAGs, Bedrock, Llama3, OpenAI, or Gemini;
  • Agile and scaled Agile work settings; and
  • AI deployment in cloud systems.
Interested candidates may apply online at  or may send resume to phoenixjobs. Reference code 448 in the subject line.

As an Equal Opportunity employer, we particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.

If you are an active-duty military member seeking employment when off-duty, compliance with Department of Defense Joint Ethics Regulation, 5500-7-R, is required prior to starting employment with University of Phoenix. You are advised to contact your base Judge Advocate General to seek such approval and answer any questions.Seniority level
  • Seniority level

    Mid-Senior level
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Information Technology
  • Industries Higher Education

Referrals increase your chances of interviewing at University of Phoenix by 2x

Apply BELOW

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary