JPMC is hiring the best talents to join the growing Asset and Wealth Management AI Engineering 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 will play a lead role as an semopr member of our global team. Your responsibilities will entail driving 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

Responsible for setting direction, development, and implementation of lighthouse ML-driven solutions 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 infrastucture 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

MS or PhD in Computer Science, Statistics, Mathematics or Machine Learning. Minimum 8 years development experience, preferably with 3+ years hands-on Data Science/Machine Learning Engineering Proven leadership capacity, including new AI/ML idea generation and building specialized DS and MLE teams 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 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