about 11 hours ago
Responsibilities
- Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems.
- Develop end-to-end GenAI features including backend API services and model integration.
- Integrate and optimize LLMs for specific business planning use cases.
- Build conversational interfaces and workflows for natural language interaction.
- Implement evaluation frameworks to measure GenAI feature quality.
- Design and develop APIs to expose AI capabilities to Anaplan's platform.
- Optimize model inference pipelines for performance and scalability.
- Implement monitoring and observability for GenAI systems.
- Collaborate with data scientists to productionize ML models.
Requirements
- Extensive hands-on experience in Artificial Intelligence and Machine Learning.
- End-to-end exposure in model lifecycle development and deployment.
- Deep knowledge of LLM APIs and conversational AI patterns.
- Experience in fine-tuning LLMs for enterprise applications.
- Strong expertise in MLOps and LLMOps.
- Proficiency in Python and modern software development practices.
- Proven track record of delivering complex technical projects on time.
Tech Stack
MLflowPython