Engineering Lead - Data

Added
9 days ago
Type
Full time
Salary
Salary not provided

Related skills

java python machine learning data-driven genai

πŸ“‹ Description

  • Lead multidisciplinary engineering teams in Amsterdam.
  • Focus on data-driven risk and financial crime products.
  • Drive scalable, resilient systems for financial crime detection.
  • Oversee ML models and data pipelines for real-time risk assessment.
  • Explore AI technologies, GenAI, and LLMs to automate investigations.
  • Collaborate with investigators, operations, and product teams to meet needs.

🎯 Requirements

  • Proven experience leading multi-disciplinary Engineering Teams.
  • Experience building data-driven products and systems at scale in risk.
  • Deep ML lifecycle knowledge: data ingestion, feature engineering, training, deployment, monitoring.
  • Strong technical background in data processing and distributed systems; Java/Python.
  • Familiar with Generative AI and Large Language Models for real-world problems.
  • Experience working closely with non-technical stakeholders (Ops, Legal/Compliance, PMs).

🎁 Benefits

  • Office-first Amsterdam role; in-person collaboration.
  • Flexible arrangements available on request.
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