Talentfish - Naperville, IL
posted about 2 months ago
Full-time - Senior
Naperville, IL
Professional, Scientific, and Technical Services
About the position
The Leader of Artificial Intelligence/Machine Learning Technologies & Architecture 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 lead a team of engineers and data scientists under a factory model approach.
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 to solve business problems.
- Design and document solution architecture, focusing on integration 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.
- 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 best practices and standards for AI/ML development and deployment.
- Monitor and evaluate the performance of AI/ML solutions and provide recommendations for improvement.
- Serve as a trusted advisor to Digital Partners and leadership on technology matters.
Requirements
- Bachelor's degree 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 learning and deep learning.
- Hands-on experience with AI/ML frameworks like TensorFlow and PyTorch.
- Experience with large datasets and 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.
Benefits
- Direct hire position
- Hybrid work model (3 days onsite)
