2 месяца назад
Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (AI/LLM): Building production machine learning models and LLM-powered systems for fraud detection, churn prediction, customer support automation, and user-facing product features with an accent on end-to-end ownership, model evaluation, and operational reliability. Focus on designing RAG pipelines and agentic workflows, deploying and monitoring classical ML models, and establishing rigorous MLOps and LLM evaluation practices.
Location: Hybrid in Stockholm, Sweden.
Company
is a profitable telecommunications product company that builds services helping people connect across borders.
What you will do
- Define ML and AI tooling, evaluation standards, production practices, and model quality criteria.
- Build and operate fraud, risk, churn, forecasting, pricing, and segmentation models.
- Own the full ML lifecycle from stakeholder scoping and data preparation through deployment, monitoring, retraining, and measurement.
- Develop RAG pipelines, prompt orchestration, tool-use workflows, and evaluation harnesses for customer support automation.
- Move LLM capabilities into user-facing product features and guide AI investment decisions.
- Partner with the Head of Data and another ML/AI engineer to build the ML/AI capability.
Requirements
- 5+ years of hands-on machine learning engineering experience with Python and production ownership.
- Strong knowledge of feature engineering, model selection, validation, monitoring, retraining, and model CI/CD.
- Experience owning the full lifecycle from business problem definition through deployment and iteration.
- Hands-on experience with LLM frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent, including RAG systems, agentic workflows, or LLM-backed products.
- Experience with vector databases, embeddings, prompt evaluation, a major cloud platform, containers, and modern data stacks.
- Strong written and spoken English is required.
Nice to have
- Experience with MLflow, Airflow, Kubernetes, and feature stores.
- Background in fintech, payments, telecom, or other regulated and operational domains.
- Obsession with staying current on developments in AI.
Culture & Benefits
- Ownership-focused environment with fast decision-making and direct impact.
- International and diverse workplace in Stockholm.
- Pension, health checkups, private medical, dental, and occupational insurance.
- SEK 5,000 wellness allowance, gym membership discounts, and a bonus program.
- Extra parental pay and 30 days of annual vacation.
- Relocation support for employees joining from abroad.
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