Lead AI Engineer Manager
18 hours ago
About This Role
Talent500 is seeking a highly skilled Lead AI Engineer Manager to lead the operationalization of large-scale AI solutions, owning deployment and AIOps/MLOps for multiple initiatives. As a key member of our team, you will inspire and manage multiple teams of AI Engineers leveraging the AIOps/MLOps techniques to activate AI solutions at enterprise scale, solving real business problems benefitting millions of customers daily.
Key Responsibilities:
- Owning the deployment and AIOps/MLOps process for multiple AI initiatives, ensuring scalability, resilience, and ultra-low latency.
- Leading cross-functional teams including AI, data, platforms, products, analytics, business, and compliance to drive strategic AI initiatives.
- Developing deep knowledge of software engineering and AI to contribute to the roadmap of core AI capabilities.
- Defining potential value that AI can bring in and communicating technical information to a wide spectrum of cross-functional partners.
- Attracting, recruiting, and mentoring top AI talent to build and maintain industry-leading AI Engineering & Ops teams.
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.
- 8+ years of experience building and operationalizing ML/AI products with advanced degrees in relevant fields may be counted towards experience requirements.
- 4+ years of MLOps/AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud-native services.
- 4+ years of experience managing technical teams of AI Engineers.
- Experience managing end-to-end design reviews and deployment patterns for critical AI applications in one or more of Gen AI, Supervised learning, Unsupervised Learning, and Reinforcement Learning domains.
- Good understanding of Python ecosystem and common frameworks for AI/ML (LangChain, TensorFlow, PyTorch, scikit-learn...).
- Experience managing AIOps/MLOps processes and execution.
- Experience building and maintaining ML/AI solutions on Google Cloud Platform (GCP) with production-grade pipelines.
Preferred Requirements:
- Multi-cloud and multi-region integration experience.
- Relevant certifications.
- Open-source contributions or robust GitHub portfolio.
Salary: $250,000 - $300,000 per year
Location: Talent500 HQ (Flexible Remote Options Available)
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