✨ About The Role
- The AI Software Engineer (Tech Lead) will lead the architecture, development, and operations of AI/ML infrastructure.
- This role involves optimizing the ML Software Development Lifecycle (ML SDLC) for seamless model integration into production.
- The candidate will collaborate with AI Product Researchers to develop and deploy scalable machine learning models.
- Responsibilities include building AI/ML Ops practices to support the transition of models from research to production.
- The role requires leading innovation initiatives in AI model deployment, including LLMs and recommendation engines.
âš¡ Requirements
- The ideal candidate will have over 10 years of experience in AI engineering or machine learning infrastructure.
- A strong background in leading end-to-end AI model development and deployment in production environments is essential.
- The candidate should possess expertise in AI/ML Ops and modern MLOps frameworks, with a focus on automated model deployment and lifecycle management.
- Proven experience collaborating with AI Product Researchers to translate research into scalable AI solutions is crucial.
- The successful individual will have a deep understanding of modern AI architectures, particularly LLMs and transformers.