Senior AI Data Scientist – Agentic Process Development

This is a fully remote position, open to applicants in Greece, +4 more countries.

📋 Description

• Map HR processes comprehensively across various countries and quantify the FTE cost for each step.

• Facilitate workshops with leaders in Talent, Rewards, and HR Operations to evaluate automation candidates.

• Extract requirements from senior stakeholders who are not technically inclined.

• Design state transitions, triggers, branches, system calls, waits, escalations, and failure management.

• Establish guardrails that include dry-run mode, approval gates, least-privilege credentials, and rollback paths.

• Determine where human intervention is necessary and set confidence thresholds along with usable review queues.

• Create evaluations for task completion, hallucination, and language that may exhibit gender or cultural bias.

• Develop webhook-based, idempotent agent integrations.

• Optimize model selection and routing considering cost and latency factors.

• Assess HR-tech vendors, alongside their APIs, data models, extensibility, and integration expenses.

• Acquire knowledge about HR-tech systems, HR-data governance, employment law constraints, EU AI Act obligations, and organizational change management.

⛳️ Requirements

• Over 7 years of experience in building data and machine learning systems within the industry.

• Expertise that covers both aspects of the LLM transition.

• Proven experience in deploying systems that have the authority to enact irreversible changes affecting actual customers.

• Proficient in Python and machine learning.

• Responsible for end-to-end production ownership, which includes writing readable Python code, containerization, and instrumentation.

• Familiarity with current toolchains such as uv, Docker, or similar technologies.

• Practical experience with multi-step, tool-calling LLM workflows, including orchestration, retries, idempotency, timeouts, and partial failure recovery.

• Experience in state-machine design.

• Skills in cost and latency engineering, including model routing, caching, and batching.

• Knowledge of safety practices, including staging modes, approval gates, least-privilege scoping, and rollback mechanisms.

• Design capabilities for evaluations focused on generative and agentic outputs, such as LLM-as-judge, golden-transcript regression suites, and red-teaming.

• Proficiency in applied statistics.

• Experience in process mapping and quantification.

• Ability to conduct workshops with senior stakeholders who are not technically oriented.

• Capability to create executive-level written business cases and cost models for finance teams.

• Technical vendor assessment skills covering API surface, data models, extensibility, and integration costs.

• Proof of eligibility to work in the country of application.

• Nice to have: A Master's or PhD in Computer Science, AI, Machine Learning, or a related discipline.

• Nice to have: Familiarity with the EU AI Act or high-risk AI systems.

• Nice to have: Experience with PromptOps at scale.

• Nice to have: Knowledge of DataOps/MLOps practices.

• Nice to have: Previous exposure to HRIS/HR-tech or automation in regulated or audited environments.

• Note: Relocation packages and visa sponsorship are not available.

🏝️ Benefits

• Commitment to diversity and inclusion.

• A culture of respectful, open, and trusted collaboration.

• Initiatives focused on ESG and sustainability.