AlertBoot | Senior LLM Architect
19 hours ago
Opportunity to work on various AI initiatives with the Founder of AlertBoot. You will be a senior member of an existing team that reports directly to Tim Maliyil
Role Description
This is a full-time remote role for a Senior LLM Architect at AlertBoot. The Senior LLM Architect will be responsible for architecture, software development, integration, architectural design, and project management tasks on a day-to-day basis.
Qualifications
LLM Fine-Tuning & Customization: Expertise in fine-tuning LLMs, including the use of Low-Rank Adaptation (LoRA) and prompt engineering for custom, high-performance model adaptations.
Advanced Architectures: Proficiency with RAG and other state-of-the-art architectures for retrieval-augmented generation and context-aware response generation.
GCP Proficiency: Strong experience with GCP services, including FireStore, BigQuery for data management, and Cloud Run for scalable model serving and to support globally distributed, scalable deployments.
Vector Databases: Experience with vector databases (e.g., Pinecone, FAISS) to enhance retrieval systems and support accurate, contextually rich recommendations.
Distributed Systems: In-depth knowledge of deploying and managing language models across distributed infrastructures, with familiarity in multi-cloud or hybrid cloud setups.
Programming & Libraries: Advanced skills in Python; experience with tools such as Hugging Face, TensorFlow, PyTorch, and specialized LLM toolkits.
Data Processing & Pipeline Management: Expertise in managing and optimizing data pipelines for globally distributed, large-scale data processing.
Scaling for High Volume: Proven ability to design and optimize systems capable of supporting millions of users with minimal latency.
MLOps & CI/CD: Experience with CI/CD for model deployments and MLOps practices, particularly in distributed settings.
Additional Tools: Familiarity with Kubernetes, Docker, and model monitoring tools to support seamless model operation across distributed environments.
Bachelor’s or Master’s degree in Computer Science or related field
Strong problem-solving and analytical abilities
Must have minimum 7-10 years of work experience.
Be able to show live work product
Pay starts at $5,000 USD per month.
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