AI/ML Architect

20 hours ago

Irving, Texas, United States GM Financial Full time
About GM Financial

GM Financial is a leading auto finance company that is revolutionizing the industry through technology modernization. With a startup mindset and a commitment to preserving our small company culture, we are a public company with financial stability and intense growth over a decade-plus history. We are data-driven and rely on insights to advance our business objectives. Our goal is to achieve zero emission, zero collision, zero congestion, and zero friction, and we believe that as an auto finance market leader, we are in the driver's seat to lead the way in the GM EV mission to change the world.

About the Role

We are seeking an experienced AI/ML Architect to join our high-performing team. As a key member of our team, you will 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. Your primary responsibilities will include leading the implementation and deployment of AI models and systems.

Key Responsibilities
  • 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.
Requirements
  • 4-6 years experience as an Architect with a proven track record of implementing innovative solutions and delivering business values.
  • 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

We offer a generous benefits package, including a 401K matching program, bonding leave for new parents, tuition assistance, training, GM employee auto discount, community service pay, and nine company holidays. Our team members define and shape our culture, which is an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. We thrive in an environment that values work-life balance, with a flexible hybrid work environment and two days a week in the office.

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