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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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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.

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