JPMorgan Machine Learning Engineer - Vice President 

United States, Texas, Plano 

763602961

The Compute Network Storage(CNS) group, within Global Technology Infrastructure (GTI) is responsible for defining, developing and operating cloud products consumed by our Application Development Partners across the firm. Our Product Portfolio includes Private and Public Cloud Platforms and a wide range of services such as databases, messaging and telemetry.

Job Responsibilities:

• Design, develop, and maintain software applications with integrated AI/ML capabilities.
• 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.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
• Ensure adherence to software development best practices, including agile and lean methodologies.

Required qualifications, capabilities and skills:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 + years of experience as a software developer with a focus on integrating AI/ML solutions.
• 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.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Preferred qualifications, capabilities and skills:

• Familiarity with DevOps practices for software deployment and monitoring.
• Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
• Experience with distributed computing frameworks, such as Apache Spark.
• Knowledge of graph-based AI/ML algorithms and techniques.