Senior AI Engineer
4 weeks ago
Requirements:
- A BS/MS/PhD degree in a relevant technical discipline such as Computer Science, Engineering or Information Technology is highly desired, but equivalent experience will be considered as well.
- 2+ years of experience as a technical leader responsible for delivering large and/or complex mission-critical initiatives.
- 5+ years of software development experience with designing and building complex, scalable, high-performing, and robust applications. Familiarity with Kubernetes, Docker, and cloud platforms such as AWS, Azure or GCP.
- Proficient in Java and/or Python, and familiar with IAC technologies such as Terraform and Crossplane.
- Experience in producing high-quality software designs to support long-term maintainability and extensibility of systems and code.
- Experience in MLOps/LLMOps building and/or deploying ML/LLM platforms that host / manage multiple ML/LLM models in production at scale.
- An excellent communicator with strong leadership, organizational, problem-solving, debugging and analytical skills.
Responsibilities:
- Lead delivery of cutting-edge AI-powered products in a fast paced environment.
- Partner with AI researchers, product managers, designers and other engineering teams to build best-in-class market intelligence features.
- Be the thought leader and domain expert for all things LLMOps
- Build platforms to help accelerate the launch of new and improve existing AI-powered products.
- Build scalable and reliable data pipelines and services that incorporate the use of ML models to solve complex business problems.
- Architect, design and implement highly scalable backend services powering Search & AI products.
- Deploy owned services to single tenant cloud environments.
- Provide technical leadership to implement best practices for software development. #LI-PB1
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