IT790 - AI/ML Data Engineer

Position Overview

At the University of Phoenix, we are committed to the future of work by offering a fully remote, work‐from‐home environment. We are seeking a Sr. AI/ML Data Engineer in Phoenix, AZ to transform ambiguous business questions into precise quantitative problems, ultimately resolving business planning and optimization issues. In this role, you will design, coordinate, and execute pilots or proof of concepts to evaluate new technologies, collaborate with cross‐functional teams, and deliver innovative AI/ML solutions.

You will join a team that values diverse perspectives and is dedicated to empowering adult learners while making a positive impact on the world.

Key Responsibilities

• 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.
• Derive actionable insights and recommendations to ensure compliance and alignment with organizational policies.
• Evaluate new data sources and analytics platforms for optimal utilization and alignment with business needs.
• Develop and implement continuous integration and deployment (CI/CD) pipelines for machine learning models to ensure scalability.
• Utilize coding skills to write queries, troubleshoot errors, and manage third-party libraries.
• Create infrastructure and code that contribute to the scalability and reliability of AI solutions.
• Embrace a flexible work environment with the option to telecommute from anywhere in the United States 5 days a week.

Required Qualifications

• Master’s degree in Computer Science, Computer Engineering, Management Information Systems, Electrical/Electronic Engineering or related field.
• Minimum of 3 years of AI/ML data engineering experience.
• Expertise in data analytics, algorithms, machine learning frameworks, and handling structured/unstructured data.
• Proficiency in SQL, including optimizing query performance.
• Experience building and managing datasets for Generative AI use cases.
• Knowledge of cloud services, data engineering practices, and AI/ML lifecycle management.
• Familiarity with data transformation tools such as Informatica, SSIS, SSAS, HVR, Airflow, and GLUE.
• Hands-on experience with SQL, Python, S3, Redshift, Tableau, and Power BI analytics technologies.
• Exposure to LLMs, RAGs, Bedrock, Llama3, OpenAI, or Gemini.
• Experience working within Agile and scaled Agile environments.
• Proven track record of deploying AI solutions in cloud systems.

Benefits & Perks

• Competitive Compensation: Annual Salary of $115,357.
• Excellent Benefits: Includes medical, dental, and vision plans; Flexible Spending Accounts; Health Savings Accounts; and Life and Disability insurance.
• 401(k) Employer Match: Helps secure your financial future.
• Generous time off package including paid vacation, sick time, and company holidays.
• Outstanding learning and development tools including tuition vouchers for employees and qualified family members.
• An effective employee recognition program to celebrate your contributions.