Superduper

Machine Learning Engineer

Superduper

Overview

Role involves architecting a real-time platform for token insights using ML and NLP.

Ideal candidate has 5+ years in ML/data engineering with expertise in NLP and sentiment analysis.

remoteseniorpermanentfull-timeEnglishNLPAPIsDockerKubernetesKafkaRedisPostgresTensorFlowPyTorchMLFlowGrafana

Locations

  • United Kingdom

Requirements

  • 5+ years in ML or data engineering
  • Experience with NLP systems
  • Proficient in Go, Python or similar

Responsibilities

  • Build and optimize low-latency APIs
  • Design real-time sentiment-analysis pipelines
  • Develop and train ML models
  • Collaborate with cross-functional teams
  • Ensure data security and compliance
  • Maintain code and model quality