Top Data & Analytics Jobs in NYC, NY

As a Summer Associate in the Machine Learning Center of Excellence, you will apply advanced machine learning techniques to solve financial problems, work on independent research, collaborate with mentors, and tackle challenges in natural language processing and reinforcement learning.

The Applied AI Modeling Lead will develop AI and machine learning products, leveraging NLP to solve complex business problems, analyze data, and deliver actionable insights. They will contribute to product development and mentor junior members.

As a Security Operations Senior Analyst, you will enhance cybersecurity measures by analyzing threats, responding to incidents, and developing security strategies. You will monitor security infrastructure, conduct investigations, and collaborate with teams to educate employees on security practices, ensuring the protection of digital assets.

The Quantum Computing Research Scientist will advance quantum error correction, collaborate on algorithm-specific corrections, participate in experiments for fault tolerance, document research findings, and contribute to intellectual property protections for JPMC.

The Quantum Computing Research Scientist will advance quantum algorithms for various applications, conduct rigorous benchmarking and evaluation, and collaborate with other researchers to document findings and contribute to intellectual property. Responsibilities include solving internal project challenges with novel research and presenting results to diverse audiences.

As a Senior Machine Learning Operations Engineer, you will build and manage pipelines for model training and serving, conduct hyperparameter tuning, and ensure effective model deployment in a controlled environment. You will also support high-throughput applications using state-of-the-art machine learning architectures in AWS, while collaborating with various teams to ensure compliance and operational excellence.

As a Senior Machine Learning Operations Associate, you will build and manage pipelines for model training and serving, ensuring performance and compliance. Responsibilities include supporting data scientists, maintaining infrastructure for model deployment, and enhancing operational excellence in production systems.