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Senior Artificial Intelligence Engineer - MLOps (5-8 yrs)

5-8 years

Senior Artificial Intelligence Engineer - MLOps (5-8 yrs)

Talent500

posted 29d ago

Job Role Insights

Flexible timing

Job Description

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 compliance.


Requirements :


- 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.


Functional Areas: Other

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