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Machine Learning/AI Architect

  • Job
    Full-time
    Mid & Senior Level
  • Data
  • Irving

AI generated summary

  • You need 4-6 years AI experience, a degree in Computer Science, and proficiency in Python, Java or C++. Cloud platform knowledge and strong problem-solving skills are a must. Stay updated on AI tech and ethical practices.
  • You will design, implement, and optimize AI architectures and models, collaborate with cross-functional teams, and stay updated on AI technologies for GM Financial.

Requirements

  • 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.

Responsibilities

  • 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.
  • Evalute 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

FAQs

What are the main responsibilities of a Machine Learning/AI Architect?

The main responsibilities of a Machine Learning/AI Architect include owning the implementation and deployment of AI models and systems, collaborating with cross-functional teams to understand business requirements, designing and developing AI architectures and algorithms, evaluating and selecting AI technologies, tools, and frameworks, optimizing AI models for performance and scalability, developing and maintaining AI pipelines, conducting code reviews, and staying up to date with the latest advancements in AI technologies.

What qualifications and experience are required for a Machine Learning/AI Architect role?

To be considered for a Machine Learning/AI Architect role, you should have 4-6 years of experience as an Architect with a proven track record of implementing innovative solutions, a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, at least 3 years of experience working as an AI architect or data scientist, strong knowledge of machine learning, deep learning, and NLP techniques, proficiency in programming languages such as Python, Java, or C++, familiarity with popular AI libraries and frameworks, experience designing and implementing large-scale AI solutions, understanding of cloud computing platforms, strong problem-solving and analytical skills, excellent communication and collaboration skills, and the ability to stay updated with the latest advancements in AI technologies.

What are some key skills required for a Machine Learning/AI Architect role?

Key skills required for a Machine Learning/AI Architect role include strong knowledge of machine learning, deep learning, and NLP techniques, proficiency in programming languages such as Python, Java, or C++, familiarity with popular AI libraries and frameworks, experience in designing and implementing large-scale AI solutions, understanding of cloud computing platforms, strong problem-solving and analytical skills, excellent communication and collaboration skills, and the ability to stay updated with the latest advancements in AI technologies.

Teamwork | Excellence | Integrity | Diversity, Equity and Inclusion | Community Investment

Finance
Industry
5001-10,000
Employees
1992
Founded Year

Mission & Purpose

GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations. For more information, visit www.gmfinancial.com. NMLS #2108 (https://nationwidelicensingsystem.org/about/Pages/NMLSConsumerAccess.aspx)