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Principal Machine Learning Architect
- Naperville, Illinois, United States
- Naperville, Illinois, United States
À propos
Role Overview We are seeking a Principal Machine Learning Engineer to join our Data Science team. This critical role involves developing and enhancing our MLOps platform. You’ll need a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to build and maintain a state-of-the-art MLOps environment.
Key Responsibilities
Architectural Leadership: Design and lead our MLOps platform architecture, focusing on GCP Vertex AI and Kubeflow.
Responsible AI Solutions: Develop solutions that ensure Responsible AI, including explainability, data drift detection, and fairness metrics, adhering to ethical AI practices.
Developer Experience: Enhance the MLOps platform for optimal developer experience, incorporating streamlined workflows and advanced tools.
Collaboration: Work with AI/ML experts across domains like Computer Vision, NLP, and synthetic data, integrating the latest advancements into the platform.
Reliability and Observability: Partner with the AI/ML Reliability engineering team to ensure platform reliability and observability.
Platform Development: Bring experience in platform teams, particularly in data and AI/ML, and expand platforms to on-premises and edge deployments.
Cross-functional Collaboration: Collaborate with cloud teams, data scientists, and product managers to align platform development with organizational goals.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
10+ years of experience in technology or data fields.
Proficient in Python and other programming languages.
Strong background in AI/ML or Data Sciences technologies and platform development.
Broad knowledge across technology domains (data, cloud, UI, security).
Excellent communication, leadership, and project management skills.
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Compétences linguistiques
- English
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