-tuning, inference) and success metrics. Assess current state (Kubernetes, GPUs/accelerators, storage, fabric, security... paths. Partner with the business development and product teams to build ROI/TCO models (CapEx/OpEx, $/token, $/inference...
, and infrastructure stakeholders;map business goals to AI & HPC workloads and success metrics. Assess current system state (GPUs... models. (CapEx/OpEx, $/token, $/inference) and craft the value story. Support draft of technical sections of RFIs/RFPs...
integrations to full white-label marketplace deployments with branded stablecoins (e.g., TOKEN-SP) Accelerate Key Metrics: Drive... into a single spendable, yield-bearing token (SP). By solving the "cold start†problem for rewards issuers and delivering...
observability, monitoring token usage, latency, and quality metrics in production Implementing guardrails and content filtering...
crypto-native entities, exchanges, and DeFi protocols, using both quantitative metrics (collateral ratios, liquidity... or collateral transfers. Collateral & Margin Management Assess the quality of posted collateral (token volatility, liquidity...
, and measure model performance (precision/recall) against business metrics (user retention/asset reuse rates). RESPONSIBILITIES... Define Agentic Success Metrics: Move beyond vanity metrics like Click-Through Rate (CTR). You will define and track Task...
company. You'll build the models, metrics, and pipelines that deepen Kraken's understanding of onchain behavior and payments... in crypto, fintech, or financial platforms. Strong understanding of blockchain fundamentals (wallets, bridges, DEXs, token...
and metrics Lead cross-functional collaboration with backend and frontend engineering, design, data science, and ML operations... AI landscape (e.g., memory-enabled agents, token management, multimodal signals) Model and champion best practices in product...
visibility: annotation metrics, token quotas, reliability dashboards, and evaluation timelines We'd love to hear... across providers: track token usage, forecast traffic, manage regional limits, optimize caching strategies, and reduce latency Lead...
. Responsibilities: Own capacity planning and execution for major training runs: distribute token allocation targets across environment... training data characteristics, quality metrics, and how data issues manifest in model training performance Background in ML...