Applied Ai Ml Associate

**JOB DESCRIPTION**

As an Applied AI ML Associate within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver innovative software solutions. You will experiment with, develop, and productionize high-quality machine learning models, services, and platforms to significantly impact both technology and business. You will design and implement highly scalable and reliable data processing pipelines, perform analysis, and provide insights to promote and optimize business results. Your contributions will be integral to a transformative journey, making a substantial impact on a wide range of customer products.

**Responsibilities**:

- Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains.
- Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services.
- Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions.
- Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions.
- Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources.
- Communicate findings and insights to stakeholders through presentations, reports, and visualizations.
- Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations.
- Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm.
- Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements.

**Required qualifications, capabilities and skills**
- Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
- Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
- Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
- Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
- Strong analytical and critical thinking skills for problem solving.
- Excellent written and oral communication along with demonstrated teamwork skills.
- Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders.
- A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills

**Preferred qualifications, capabilities and skills**
- Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles.
- Experience with distributed data/feature engineering using popular cloud services like AWS EMR
- Experience with large scale training, validation and testing experiments.
- Experience with cloud Machine Learning services in AWS like Sagemaker.
- Experience with Container technology like Docker, ECS etc.
- Experience with Kubernetes based platform for Training or Inferencing.

**ABOUT US**

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about request