JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

 

As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 

Job responsibilities
 

Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

Deploy solutions into public cloud infrastructure 

Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 5+ years applied experience

MS in Computer Science, Statistics, Mathematics or Machine Learning. 

Development experience, along with hands-on Machine Learning Engineering 

Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

Solid Python programming skills required; with other high-performance language such as Go a big plus 

Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

Expertise in application, data, and infrastructure architecture disciplines 

Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

Excellent communication skills and ability to communicate with senior technical and business partners 

 

Preferred qualifications, capabilities, and skills

Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

Understanding of finance or wealth management businesses is an added advantage