Paul May & Associates - Oak Brook, IL

posted about 1 month ago

Full-time - Senior
Oak Brook, IL
Professional, Scientific, and Technical Services

About the position

The Sr. Principal Architect of Artificial Intelligence/Machine Learning is responsible for managing, designing, developing, and deploying scalable AI and ML solutions to drive digital transformation and innovation across various business functions. This senior-level role requires collaboration with cross-functional teams to architect impactful solutions, manage AI/ML operations, and provide technical guidance to stakeholders. The position emphasizes the importance of best practices in AI/ML engineering and aims to optimize processes for identified opportunities.

Responsibilities

  • Analyze business requirements and processes to translate them into AI/ML solutions.
  • Design and implement end-to-end AI/ML pipelines, including data ingestion, model development, and deployment.
  • Apply best practices for AI/ML engineering, including code quality and continuous integration.
  • Select and utilize appropriate AI/ML frameworks and tools such as TensorFlow and Azure.
  • Research and evaluate the latest AI/ML techniques and algorithms for business problem-solving.
  • Design and document solution architecture, focusing on integration, security, and performance.
  • Ensure solutions are developed according to design specifications and quality standards.
  • Review and approve detailed solution design artifacts.
  • Test and validate solutions to meet quality expectations.
  • Provide technical leadership and mentorship to the development team.
  • Collaborate with data engineers, data scientists, and stakeholders to define AI/ML objectives.
  • Manage the AI/ML operations team to ensure solution quality and reliability.
  • Establish and enforce best practices for AI/ML development and deployment.
  • Monitor and evaluate the performance of AI/ML solutions and provide improvement recommendations.
  • Serve as a trusted advisor to Digital Partners and technology leadership.

Requirements

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • 5 to 7 years of experience in AI/ML engineering or related roles.
  • Proficient in AI/ML programming languages.
  • Strong knowledge of AI/ML concepts such as supervised and unsupervised learning, deep learning, etc.
  • Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch.
  • Experience with large datasets using SQL, NoSQL, or big data technologies.
  • Experience in managing AI/ML pipelines and workflows.
  • Excellent communication and presentation skills.
  • Experience applying DevOps principles to AI/ML engineering.
  • Ability to work in a global and matrixed environment.

Nice-to-haves

  • Certification in AI/ML solutions & architecture or related fields.
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