Senior Ai Data Scientist
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Compensaciones / Beneficios
- Map HR processes across 19–25 countries and turn them into an inventory with cost attached per step
- Facilitate workshops with HR Ops, Talent, and Rewards leads to derive requirements and evaluate automation candidates
- Design state transitions, triggers, branches, system calls, waits, and escalation points for multi-step workflows
- Implement guardrails: dry-run mode, approval gates, least-privilege credentials, rollback paths
- Determine human-in-the-loop moments and design a review queue with practical usability
- Write evaluation criteria beyond precision/recall: task-completion, hallucination rate, bias testing
- Develop idempotent, webhook-based integrations with reliable retry behavior
- Decide which steps require frontier models vs cheaper options and prove routing decisions with metrics
- Assess vendor APIs, data models, integration costs, and true surface of external toolsResponsabilidades
- 7+ years building data and ML systems in industry
- Experience shipping systems with irreversible actions affecting real customers
- Expertise in Python and ML, with end-to-end shipability and containerization
- Production experience with multi-step, tool-calling LLM workflows (orchestration, retries, idempotency)
- Cost and latency engineering focus (model routing, caching, batching)
- Safety-focused design: staging modes, approval gates, least-privilege, rollback
- Evaluation design for generative/agentic outputs (LLM-as-judge, red-teaming)
- Applied statistics and process mapping with quantitative framing
- Facilitation of workshops with senior non-technical stakeholders
- Executive-level written business cases and vendor evaluation skillsRequisitos principales -
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