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Lynx

Real-time AI AML and fraud detection

AI / Machine Learning Engineer

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • At least 5 years of professional experience developing machine learning models and artificial intelligence solutions.
  • Knowledge of generative and agentic AI technologies, including large language models, retrieval-augmented generation, MCP, tools, and multi-agent systems.
  • Experience developing with an AI agent framework such as LangChain, LangGraph, or Google ADK.
  • Knowledge of supervised and unsupervised machine learning techniques.
  • Experience developing models with Python and libraries such as scikit-learn, pandas, and NumPy.
  • Experience with software development practices, including Git, CI/CD pipeline implementation such as GitHub Actions, and branch-based development.
  • Strong knowledge of applied statistics and model evaluation.
  • Experience working with SQL and data processing.
  • Experience with data analysis and visualization techniques.
  • Knowledge of deep-learning libraries such as TensorFlow, PyTorch, or Keras.

Responsibilities

  • Analyze requirements and participate in designing AI components to improve existing solution features or create new ones.
  • Develop, train, and validate machine learning and artificial intelligence models.
  • Conduct exploratory data analysis and select relevant variables for machine learning models.
  • Design and configure AI agent systems.
  • Fine-tune, specialize, and optimize large language models.
  • Test, evaluate, and continuously improve the performance, robustness, and accuracy of solutions.
  • Diagnose incidents, analyze results, and optimize existing models.
  • Improve and adopt best practices related to data science, machine learning, and MLOps.

Desired Qualifications

  • Fluent English proficiency at least at B2 level.
  • Experience with model packaging and serving tools such as REST APIs and Docker.
  • Knowledge of and certifications in AWS.
  • Knowledge of generative model specialization techniques such as supervised fine-tuning, quantization, and distillation.
  • Experience or familiarity with MLOps practices.

About the Company

Lynx

Real-time AI AML and fraud detection

Lynxtech provides an AI-powered platform for financial crime prevention that helps financial institutions detect money mules and illicit funds in real time. It supports AML screening and fraud detection across multiple channels, using machine learning to continuously adapt to new threats. The product integrates with banks’ systems to generate risk scores and flag suspicious activity for investigation. What sets Lynxtech apart is its real-time, multi-channel approach and ongoing customer success focus, along with resources like white papers to help clients stay informed. The company aims to reduce money laundering and other financial crimes for banks and improve regulatory compliance by providing practical, data-driven risk management tools.

Company size
51-200
Company stage
Series A
Total funding
$18.7M
Headquarters
Madrid, Spain
Founded
2023

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