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Machine Learning Engineer - Vice President

JPMorganChase

Salary not specified
Jul 31, 2025
Plano, TX, US
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The Compute Network Storage (CNS) group within Global Technology Infrastructure (GTI) is responsible for defining, developing, and operating cloud products. As a Machine Learning Engineer within the Network team, the role will integrate AI/ML capabilities to address complex business challenges, with a special focus on automation.

Requirements

  • Strong programming skills in Python, with experience in developing and maintaining production-level code.
  • Experience with application architecture and design patterns.
  • Proficiency in working with large datasets and data preprocessing.
  • Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
  • Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
  • Familiarity with DevOps practices for software deployment and monitoring.

Responsibilities

  • Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on network automation and AIOps.
  • Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
  • Develop and implement software architecture and design patterns to ensure scalability and performance.
  • Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
  • Implement and manage data pipelines to preprocess and transform data for AI/ML models.
  • Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
  • Optimize software applications for performance, reliability, and scalability.

Other

  • Bachelor’s degree in Computer Science or equivalent practical experience.
  • Strong experience working with multiple technology teams in a matrixed organization
  • 5+ years of building orchestration and automation focused on enterprise networks
  • 5 + years of experience as a software developer with a focus on integrating AI/ML solutions.
  • Strong problem-solving and analytical skills and Excellent communication and collaboration skills.