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Senior Artificial Intelligence Engineer
1 month ago
Responsibilities :
- Operationalize and maintain large-scale AI solutions, with AI Engineering and AIOps excellence, partnering closely with AI Scientists.
- Implement the best AIOps/MLOps techniques to activate AI solutions at enterprise scale, solving real business problems and benefitting millions of Best Buy customers daily.
- Deeply hands-on, utilizing extensive knowledge of software engineering and AI to contribute to the roadmap of Best Buy's core AI capabilities.
- Partner with global cross-functional teams including AI, data, platforms, products, analytics, business, and :
- Master's degree or Ph. D. in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research, or related) OR equivalent relevant professional experience.
- 4+ years of deep, hands-on, experience building and operationalizing ML/AI products. Advanced degrees in relevant fields may be counted towards experience requirements.
- 2+ years of MLOps/AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput, as resilient, scalable, cloud native services, with engineering excellence.
- 2+ years of experience leading end-to-end design reviews, code reviews, and deployment patterns for critical AI applications in one or more of Gen AI, Supervised learning, Unsupervised Learning, and Reinforcement Learning domains.
- 2+ years of hands-on experience on Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production-grade pipelines.
- Expert-level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core).
- Expert level, hands-on coding expertise in Python and SQL.
- Expert-level knowledge of MLOps/AIOps concepts and CI/CD pipelines.
Preferred Requirements :
- Multi-cloud and multi-region integration experience.
- Relevant certifications.
- Open-source contributions or robust GitHub portfolio.
(ref:hirist.tech)