# Founding Senior ML Engineer at Afori

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> Responsibilities: - Design and own the continuous learning (

- **Company:** Afori (https://jobs.trythestack.co/companies/afori)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, LLM, Fine-tuning, Distillation, NLP, Python, Infrastructure, Evaluation methodologies, Agentic systems, Continuous learning, Data modeling, System architecture
- **Posted by employer:** 2026-09-01
- **Added to The Stack:** 2026-09-01
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.gem.com/afori/am9icG9zdDpou_YsffaXqAeMryPQ2MTU (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/founding-senior-ml-engineer-afori

## About the role

Responsibilities:
- Design and own the continuous learning (learning flywheel) architecture for agent swarms: capture agent outcomes, expert signals and case feedback to drive iterative model improvements.
- Build and operate fine-tuning and distillation pipelines for German insurance NLP tasks: dataset curation, training, validation, and staged rollouts.
- Define and implement evaluation standards: gold sets, benchmarks, abstention/faithfulness checks, and production eval gates.
- Develop model serving and cost-aware inference strategies to run at scale across thousands of real Cases in a regulated environment.
- Create cross-sell intelligence models that score opportunities from APDB/account data and feed actionable signals into broker workflows.
- Collaborate with product, infra, legal and ops to ensure compliance, observability and safe deployments; monitor production performance and iterate.

Requirements:
- Proven experience building and shipping ML systems in production, including LLM fine-tuning and model distillation workflows.
- Hands-on expertise designing evaluation methodologies (gold sets, benchmarks, abstention checks) and enforcing eval gates for production.
- Strong ML engineering fundamentals: training pipelines, serving infrastructure, monitoring and cost-aware inference at scale.
- Track record owning ambiguous end-to-end problems in early-stage or fast-moving product contexts; bias for finishing and operational rigor.
- Experience with NLP in regulated domains, agentic systems, continuous learning loops, or German-language models is a strong plus.
- Fluent Python and familiarity with model/tooling ecosystem (open-weight and proprietary models); good trade-off judgment between performance, cost and safety.

## Responsibilities

Design and own the continuous learning loop for agent swarms and manage the fine-tuning and distillation pipeline for specialized NLP tasks. Establish evaluation methodologies and serving infrastructure to ensure ML models meet production standards.

## Requirements

Requires a strong track record in building and shipping ML systems, specifically with LLM fine-tuning and evaluation. Candidates must possess solid ML engineering fundamentals and the ability to own ambiguous problems in an early-stage environment.

## FAQ

- **Is this Founding Senior ML Engineer role still open?** It was posted on 2026-09-01. Listings more than 30 days old may no longer be active, so check Afori's site before applying.
- **Does Afori offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Afori's site.
- **Where is this role located?** The listing gives the location as Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: Machine Learning, LLM, Fine-tuning, Distillation, NLP, Python, Infrastructure, Evaluation methodologies, Agentic systems, Continuous learning, Data modeling, System architecture.

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