J.P. Morgan is looking to solve complex business challenges by integrating AI/ML capabilities into their software solutions, with a special focus on automation, within their Compute Network Storage (CNS) group.
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
- Excellent communication and collaboration skills.
- We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
