(e.g., LLM agents, MMoE models, VAEs, etc.) Build systems with availability, scalability, operational excellence, and cost... systems are a plus. Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure...
directly with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical... vector database integrations and data-to-embedding pipelines for LLM applications. Deep experience with data warehouse...
and advanced LLM-based techniques. This is a high-impact, product-focused role where you'll collaborate across engineering, product... and a proven ability to work cross-functionally across product, ops, and engineering Nice to have: Hands-on experience rapidly...
The Role Drive features and improvements from ideation to delivery, collaborating with Product, Design, and Ops... Integrate intelligent automation and LLM-based tooling to improve operational efficiency and user experience (e.g. invoice...
entertainment companies. You will be the technical architect and hands-on engineer responsible for designing and deploying... engineer on a collaborative, multidisciplinary team where you'll have the autonomy to architect solutions, write production...
of data scientists who are responsible for the development of predictive models, autonomous agents, and prompt-based LLM.... Collaborate with senior leaders to re-engineer processes and define a compelling vision for the target state, by embedding...
., Full‑Stack, SRE/Platform, Security Engineer, QA) and level up existing teams with crisp ownership. You'll thrive... teams focused when the alerts page lights up. Nice to have (not required) Experience with AI Agent Ops, RAG/data...
experience bringing LLM/SLM research into production — from fine-tuning and inference optimization to evaluation and AI Ops... here. Position Summary: Trend Micro is seeking an Applied AI Architect with deep experience bridging LLM/SLM model research...
). Familiarity with quantamental investing, portfolio optimization, or financial ML. Exposure to ML ops practices (feature stores..., model registries, evaluation frameworks). Basic experience with LLM/RAG tooling for document processing (filings...
). Familiarity with quantamental investing, portfolio optimization, or financial ML. Exposure to ML ops practices (feature stores..., model registries, evaluation frameworks). Basic experience with LLM/RAG tooling for document processing (filings...