Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Responsibilities
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Who You Are
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Minimum Requirements
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Benefits & Compensation
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.
Design and build production-grade LLM pipelines, from fine-tuning to inference optimization. Collaborate with research and product teams to ship AI-powered features that users interact with daily. Architect scalable MLOps infrastructure using tools like vLLM, TensorRT, and LoRA adapters. Own end-to-end delivery of ML systems, from prototype to production. Participate in technical design reviews and contribute to internal tooling and open-source projects.