Machine Learning/AI Architect - Military Veterans
at GM Financial
Overview
Why GMF Technology?
GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization - we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are data junkies and trust in data and insights to advance our business objectives. We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world. We are building global platforms, in LATAM, Europe, China, U.S. and Canada - and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business.
Overview
As a AI/ML Architect, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems.
Responsibilities
JOB DUTIES
- You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture
- Your main responsibilities entail owning the implementation and deployment of AI models and systems
- Collaborate with product managers, data scientists, software engineers, and other customers to understand business goals and determine AI requirements
- Design and develop AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions using Retrieval augmented generation (RAG), Contextual AI, Prompt Engineering etc.
- Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability
- Own the development and implementation of AI models, ensuring consistency to standard processes in machine learning and deep learning
- Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes
- Optimize AI models and systems for performance, scalability, and efficiency
- Conduct regular code reviews and provide technical guidance to junior members of the team
- Stay up to date with the latest advancements in AI technologies, frameworks, and algorithms, and find opportunities for their application in the organization
- Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments
Qualifications
Experience
- 4-6 years experience as an Architect with a proven track record of implementing innovative solutions and delivering business values required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Proven experience (3+ years) working as an AI architect, data scientist, or related role.
- Strong knowledge of machine learning, deep learning, and natural language processing (NLP) techniques.
- Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience in designing and implementing large-scale AI solutions, including data ingestion, storage, processing, and deployment.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms.
- Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
- Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
- Ability to stay updated with the latest advancements in AI technologies, frameworks, and platforms.
- Knowledge of ethical considerations and responsible AI practices is a plus.
What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: Flexible hybrid work environment, 2-days a week in office
NOTE- At this time we are unable to provide Visa sponsorship for this position
#LI-Hybrid
#LI-MH1
Irving, TX
GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America and Asia. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.
OUR BUSINESS & OUR HISTORY
GM Financial was founded as AmeriCredit in September 1992 and opened its first branch office in Fort Worth, Texas. On October 1, 2010, AmeriCredit Corp. was acquired by General Motors Company and renamed General Motors Financial Company, Inc. (GM Financial). In 2011, GM Financial acquired FinanciaLinx to serve GM dealers and customers throughout Canada. In November 2012, GM Financial announced the acquisition of Ally Financial Inc.’s international operations. The majority of those acquisitions were finalized in 2013, with the remaining market, a 35 percent equity interest in a joint venture in China, acquired in January 2015. In October 2017, GM Financial completed the sale of its European financial subsidiaries and branches as part of General Motors’ sale of the Opel and Vauxhall businesses to Peugeot S.A.
GM Financial provides auto finance solutions to 14,000 dealers worldwide, with earning assets of $93 billion at September 30, 2018.
CORPORATE GOVERNANCE
GM Financial's success is largely dependent on building strong, lasting relationships with our dealers and the consumer customers that we serve. This is why we are committed to providing best-in-class customer service, while promoting open, honest communication at all levels.
Our executive team and all employees must adhere to GM Financial's Code of Business Conduct and Ethics. Our Code outlines the principles by which all team members conduct business with customers, vendors and each other. These principles apply to all GM Financial team members and affiliates and although it does not cover every issue that may arise, the Code provides guidelines for all employees in regard to their business conduct.
For a deeper understanding of expectations and guidelines set forth for the entire GM Financial team, please review GM Financial's Code of Business Conduct and Ethics policies below.