You are a strategic thinker passionate about driving solutions in "AI/ML”. You have found the right team

As an “AI/ML professional” within our “ Security Services team" , you will spend each day defining, refining and delivering set goals for our firm

 J.P. Morgan Securities Services - global leader with $32 trillion in assets under custody, provides Institutional investors access to markets worldwide for the settlement, safekeeping and asset servicing of securities, along with ancillary services such as Foreign Exchange and Liquidity Solutions. The Securities Services business is comprised of Custody, Accounting, Transfer Agency, Middle Office outsourcing, Foreign Exchange, and other activities related to servicing assets for traditional and alternative funds; it leverages its scale and capabilities in more than 100 markets to help clients optimize efficiency, mitigate risk and enhance revenue through a broad range of investor services as well as securities clearance, collateral management and alternative investment services.

In this role, you will be responsible for configuring, fine-tuning, and deploying large language models (LLMs) to meet the specific needs of our organization. You will work closely with data scientists, engineers, and other stakeholders to ensure the successful implementation and optimization of LLMs for various applications.

 

Job Responsibilities

Understanding of machine learning principles, especially in natural language processing (NLP) and deep learning, to effectively work with LLMs. Work on data collection, preprocessing, and management to ensure high-quality input data for training and fine-tuning models. Optimize models for performance and efficiency, including techniques like quantization, pruning, and distillation. Deploying and managing machine learning models in production environments, including continuous integration and delivery (CI/CD) pipelines. Understand data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs. Manage projects, timelines, and resources to coordinate team efforts and meet project goals. Troubleshoot and resolve issues that arise during model configuration and deployment. Work independently, collaborate with teams across different locations, and possess excellent written and verbal communication skills. A commitment to fostering an inclusive culture and valuing diverse perspectives is also important.

 

Required qualifications, skills and capabilities

Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Hugging Face Transformers. Strong programming skills in Python and familiarity with NLP techniques. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for model training and deployment. Understanding of data management practices and data privacy considerations. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills to work effectively in a team environment. Ability to manage multiple projects and meet deadlines in a fast-paced setting Experience with DevOps/MLOps practices and tools for continuous integration and deployment. Familiarity with model optimization techniques, such as quantization and pruning. Relevant certifications in machine learning or cloud computing.

 

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