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2727 N Central Ave Phoenix Arizona 85004 United States of AmericaWe are looking for a passionate and hands-on AI Solutions Developer to help us rapidly explore and prototype new AI applications. This role is perfect for someone who loves to code is excited about the possibilities of AI and enjoys building things from scratch.
In this role you will drive innovation by building solutions across both our established Microsoft ecosystem and the dynamic world of Python-centric AI development. Youll be responsible for rapidly prototyping new AI programs for both internal use and our SaaS solutions as well as enhancing existing AI internal solutions in Python. This role requires a self-starter who is comfortable with open-source tools and Microsoft Azure Portal and is adept at navigating and integrating different technology stacks to deliver cutting-edge solutions.
This is a fully onsite position with no opportunity for hybrid or remote work. This role is located at our corporate campus in Phoenix AZ.
Responsibilities:
Build and iterate on AI-powered prototypes primarily using Python to enhance internal processes and create proof-of-concepts (POCs) for our SaaS platform. This includes writing clean efficient code integrating with existing systems and quickly adapting to new technologies.
Rapidly build and test AI prototypes focusing on speed and agility. We want someone who can quickly turn ideas into working code and iterate based on feedback.
Focus on practical applications and delivering working code not just theoretical models
Contribute to a culture of experimentation and learning sharing your knowledge and insights with the broader development team.
Create robust and well-documented proof-of-concepts to demonstrate the viability and potential impact of new AI technologies.
Contribute to development projects within our Microsoft .NET environment using C#.
Ability to document your designs clearly and concisely.
Utilize and manage our Azure DevOps environment for CI/CD Azure Open AI project tracking and collaboration.
Stay current with the latest advancements in AI machine learning and relevant open-source tools within the Python ecosystem as well as developments within the Microsoft technology stack.
Collaborate with other teams (architecture development business quality assurance etc.) to understand their needs and identify opportunities for solutions leveraging both AI (Python) and our existing Microsoft infrastructure.
Ensure seamless integration and interoperability between Python-based AI solutions and our core Microsoft systems.
Qualifications:
Bachelors degree in computer science Engineering or a related field. Equivalent relevant hands-on experience may be considered in lieu of a degree.
Strong programming skills in both Python and C# with a passion for building AI-powered applications. Were looking for someone who is comfortable working across different technology stacks and is eager to learn new things.
Proficiency in Python and experience with relevant AI and machine learning libraries (e.g. TensorFlow PyTorch scikit-learn Langchain Transformers).
Strong programming skills in C# and a solid understanding of the .NET ecosystem.
Practical experience manipulating and analyzing data using libraries like Pandas and NumPy for building real-world applications.
Familiarity with web scraping and data extraction using tools like BeautifulSoup.
Hands-on experience with Azure DevOps for source control continuous integration/continuous delivery (CI/CD) and project management.
Experience with utilizing and integrating with platforms like OpenAI Studio.
Familiarity with data validation and serialization using libraries like Pydantic (if applicable to the role of data handling aspects).
Proven ability to write clean well-documented and testable code.
A hacker mindset: you enjoy taking things apart figuring out how they work and building new things from the pieces.
Bonus Points:
Experience contributing to open-source projects.
A portfolio of personal projects demonstrating your coding skills and passion for AI.
Experience with cloud platforms (e.g. AWS MS Azure) for deploying AI applications.
Familiarity with DevOps principles and CI/CD pipelines.
U-Haul Offers:
Full Medical coverage
Prescription plans
Dental & Vision Plans
New indoor fitness gym
Gym Reimbursement Program
Registered Dietitian Program
Weight Watchers
Onsite medical clinic for you and your family
Career stability
Opportunities for advancement
Valuable on-the-job training
Tuition reimbursement program
Free online courses for personal and professional development at U-Haul University
Business and travel insurance
You Matter Employee Assistance Program
Paid holidays vacation and sick days
Employee Stock Ownership Plan (ESOP)
401(k) Savings Plan
Life insurance
Critical Illness/Group Accident
24-hour physician available for kids
MetLaw Legal program
MetLife auto and home insurance
Mindset App Program
Discounts on cell phone plans hotels and more
LifeLock Identity Theft
Savvy consumer wellness programs - from health care tips to financial wellness
Dave Ramseys SmartDollar Program
U-Haul Federal Credit Union
Wellness Program
U-Haul Holding Company and its family of companies including U-Haul International Inc. (U-Haul) continually strives to create a culture of health and wellness. Consistent with applicable state law U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama Alaska Arizona Arkansas Delaware Florida Georgia Hawaii Idaho Iowa Kansas Maryland Massachusetts Michigan Nebraska Pennsylvania Texas Utah Vermont Virginia and Washington. U-Haul has observed this hiring practice since February 1 2020 as part of our commitment to a healthy work environment for our team.
U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race color religion sex national origin physical or mental disability veteran status or any other basis protected by applicable federal provincial state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.
Required Experience:
Unclear Seniority
Full-Time