Talentfish - Naperville, IL

posted 9 days ago

Full-time - Senior
Naperville, IL
Professional, Scientific, and Technical Services

About the position

The Sr. Principal Architect of Artificial Intelligence/Machine Learning is a senior-level role responsible for managing, designing, developing, and deploying scalable AI and ML solutions to drive digital transformation across various business functions. This position requires collaboration with cross-functional teams to ensure the delivery of impactful solutions while managing AI/ML operations and leading a team of engineers and data scientists.

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 PyTorch.
  • Research and evaluate the latest AI/ML techniques to solve business problems.
  • Design and document solution architecture, focusing on integration, security, and performance.
  • Review and approve detailed solution design artifacts.
  • Test and validate solutions to ensure they meet quality standards.
  • Provide technical leadership and mentorship to the development team.
  • Manage the AI/ML operations team to ensure solution quality and reliability.
  • Establish best practices and standards for AI/ML development and deployment.
  • Collaborate with stakeholders to define and prioritize AI/ML requirements.
  • Monitor and evaluate the performance of AI/ML solutions and provide recommendations for improvement.
  • Serve as a trusted advisor to leadership on technology-related matters.

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, and natural language processing.
  • Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • 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 and architecture.

Benefits

  • Direct hire position with a hybrid work model (3 days onsite).
  • Opportunity to work on innovative AI/ML projects.
  • Collaboration with cross-functional teams and stakeholders.
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