8 дней назад
Senior AI Data Scientist — Agentic Process Development
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Data Scientist — Agentic Process Development (AI/ML): Building production agentic systems that automate multi-step HR processes across multiple countries with an accent on tool-calling workflows, deterministic state transitions, safety guardrails, and evaluation. Focus on designing human-in-the-loop controls, handling retries and partial failures, optimizing model cost and latency, and validating high-impact actions.
Location: Fully remote, with eligibility to work in the country of application; listed locations are Crete, Greece; Florence, Italy; Barcelona, Spain; Berlin, Germany; and Gent, Belgium.
Company
provides digital tools and services for small and medium-sized businesses across Europe, serving more than 3 million customers in over 25 languages.
What you will do
- Map HR processes such as recruitment, onboarding, performance, rewards, and offboarding across multiple countries and systems.
- Design and build production agentic workflows with state transitions, tool calls, retries, timeouts, idempotency, and partial-failure recovery.
- Implement safety controls including dry-run modes, approval gates, least-privilege credentials, rollback paths, and human review queues.
- Develop evaluations for task completion, hallucination, bias, and other quality characteristics that standard precision and recall do not capture.
- Optimize model routing, caching, batching, cost, and latency, and evaluate HR-tech vendors based on APIs, data models, extensibility, and integration costs.
- Facilitate workshops with HR stakeholders and prepare quantitative business cases for Finance and executive audiences.
Requirements
- 7+ years of industry experience building data and ML systems.
- Expert Python and ML skills, with strong applied statistics and the ability to assess whether results are trustworthy.
- Production experience with multi-step, tool-calling LLM workflows and state-machine design.
- End-to-end engineering experience including containerization, instrumentation, deployment, and operational ownership.
- Experience building systems authorized to take irreversible actions affecting real customers.
- Proof of eligibility to work in the country of application is required; relocation packages and visa sponsorship are not supported.
Nice to have
- Master’s or PhD in Computer Science, AI, Machine Learning, or a related field.
- EU AI Act or high-risk AI system experience.
- PromptOps at scale, including prompt versioning, testing, and rollback.
- DataOps or MLOps practice.
- HRIS/HR-tech experience or automation experience in an audited or regulated domain.
Culture & Benefits
- Fully remote work arrangement.
- Work on HR automation across a European, multi-country organization.
- Emphasis on respect, openness, trusted collaboration, diversity, and inclusion.
- Focus on responsible AI, human oversight, bias testing, governance, and ESG practices.
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