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Machine Learning Engineer



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Key Responsibilities

  • Develop and maintain scalable ML pipelines using Python and Scikit-Learn.
  • Build and integrate LLM-based applications using LangChain and related frameworks.
  • Design data workflows using Pandas, NumPy, and BigQuery for efficient data processing.
  • Collaborate with cross-functional teams to deploy models and services in production.
  • Optimize performance, reliability, and scalability of ML systems.
  • Implement CI/CD pipelines for ML deployment and monitoring.
  • Contribute to internal tooling and automation for model lifecycle management.
  • Ensure compliance with data governance, privacy, and security standards.

Key Capabilities/Experience

  • 5+ years of professional experience in Python development, with a strong focus on data and ML applications.
  • 2+ years of hands-on experience with LangChain and LLMs (e.g., VertexAI).
  • 3+ years working with Pandas, NumPy, and data manipulation techniques.
  • 3+ years of experience with Google BigQuery or similar cloud data platforms.
  • 3+ years of experience building ML models using Scikit-Learn, including deployment and monitoring.
  • Experience with Docker, Kubernetes, and CI/CD pipelines in production environments.
  • Solid understanding of SQL and exposure to NoSQL systems.
  • Familiarity with ML lifecycle tools (e.g., MLflow, DVC) and software engineering best practices.
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En ING queremos que las personas den lo mejor de sí mismas. Tenemos una cultura inclusiva donde todos pueden crecer y hacer la diferencia para nuestros clientes y la sociedad. Apoyamos siempre la diversidad, la igualdad y la inclusión. No toleramos ninguna forma de discriminación, ya sea por edad, género, identidad de género, cultura, experiencia, religión, raza, discapacidad, responsabilidades familiares, orientación sexual u otro motivo. Si necesitas ayuda o algún ajuste durante el proceso de selección o entrevista, ponte en contacto con el reclutador indicado en la oferta. Estaremos encantados de colaborar contigo para que todo sea justo y accesible. Haz clic aquí para saber más sobre nuestro compromiso con la diversidad y la inclusión

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