Impactful ML Engineer — FinTech NLP & Trading Signals

UMO

Lisboa

Híbrido

EUR 70 000 - 100 000

Tempo integral

Há 8 dias
Gerador de candidaturas

Recebe uma resposta deste empregador — um currículo e uma carta de apresentação adaptados exatamente ao que estão a contratar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Remote work option
Home office stipend
Learning budget
Career growth path
Two 4-day weeks after year

Resumo da oferta

UMO is a stealth-mode FinTech venture building a unified, AI-powered money platform across fiat, crypto, and investments. We are developing our MVP with 100+ staff and offices in Portugal, Ukraine, and the UAE.

We seek a Senior ML Engineer to lead NLP model work—sentiment analysis, NER, document processing, fraud detection—and to deploy scalable ML solutions with MLOps across cloud environments. Fluency in English required.

Qualificações

  • PhD/Master in CS/DS with NLP/Deep Learning focus.
  • Proven Python and DL framework experience.
  • Experience with Transformers and vector databases.
  • Data pipelines with Spark/Kafka/Airflow; SQL proficiency.
  • Cloud deployment with Docker/Kubernetes; English fluent.

Responsabilidades

  • Develop NLP models for sentiment analysis on financial data.
  • Build NER, document processing, AML/detection pipelines.
  • Enable intelligent customer support via LLMs.
  • Improve semantic search and model lifecycle with MLOps.

Conhecimentos

Python
Deep Learning
NLP
Transformers
LLMs
Vector Databases
Spark
Kafka
Airflow
SQL
Docker
Kubernetes
Cloud (AWS/GCP/Azure)

Formação académica

PhD in CS/DS
Master’s in CS/DS

Ferramentas

PyTorch
TensorFlow
Pinecone/Milvus/Weaviate
Docker
Kubernetes

Descrição da oferta de emprego

UMO is a stealth-mode FinTech venture building a unified, AI-powered money platform across fiat, crypto, and investments. We are developing our MVP with 100+ staff and offices in Portugal, Ukraine, and the UAE.

We seek a Senior ML Engineer to lead NLP model work—sentiment analysis, NER, document processing, fraud detection—and to deploy scalable ML solutions with MLOps across cloud environments. Fluency in English required.

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