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AI Engineering Lead
2 weeks ago
Our organization is seeking a highly skilled Senior AI Engineer to join our team. This role involves the operationalization and maintenance of large-scale AI solutions, partnering closely with AI Scientists.
The ideal candidate will have hands-on experience building and operationalizing ML/AI products, with advanced degrees in relevant fields counted towards experience requirements.
We are looking for someone who has expertise in Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core).
A strong understanding of MLOps/AIOps concepts and CI/CD pipelines is also essential.
In this role, you will be responsible for leading end-to-end design reviews, code reviews, and deployment patterns for critical AI applications.
You will also have the opportunity to work on Google Cloud Platform or any other cloud platform, building and maintaining ML/AI solutions with production-grade pipelines.
Responsibilities:
- Operationalize and maintain large-scale AI solutions.
- Implement best AIOps/MLOps techniques to activate AI solutions at enterprise scale.
- Contribute to the roadmap of core AI capabilities by utilizing extensive knowledge of software engineering and AI.
- 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.
- 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.
- Expert-level understanding of Python ecosystem and common AI/ML frameworks.
- Expert-level, hands-on coding expertise in Python and SQL.
Benefits:
We offer a vibrant hub of tech talent, where we're driving innovation and accelerated business outcomes every day. Our inclusive culture empowers you to learn, grow, collaborate, and make a real impact.
We operate under a hybrid work model with an expectation for employees to be in the office three days a week.
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