We are looking for a Machine Learning Lead to join our technology team to solve exciting business problems in the domain of commercial banking, payments and financial services. Candidates must have a strong curiosity for data and a proven track record of successfully applying rigorous scientific methods with proficiency in data science knowledge and technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business.

The ideal candidate will have a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and have experience working with massive amounts of data. They should also have strong software engineering skills and the ability to build systems that reach JP Morgan scale.

What You'll Do:

5+ years in a managerial role, recruiting top talent, growing, and scaling analytics organizations. Excellent demonstrated leadership skills in a global organization.

Ability to manage complex relationships across multiple functions and establish strong partnerships. Outstanding communication and presentation skills, written and verbal, to all levels of the organization.

Lead a team of Machine Learning practitioners and software engineers to design , develop and industrialize cutting edge software solutions for business problems

Work closely with stakeholders to understand the business imperatives, available data and advise on the problem statement set up for effective ML solution

Work closely with technology leadership for effective management of technology imperatives for Machine Learning life cycle management

Develop and Train production grade ML/Deep Learning models on large-scale datasets to solve various business usecases for Commercial Banking.

Use large scale data processing frameworks such as Spark, AWS EMR, and be proficient at feature engineering across various data sets both structured and un-structured.

Use Deep Learning models like CNN, RNN and NLP (state of art Encoder - Decoder techniques, LSTMs etc.) for solving various business use cases

Ability to build ML models across Public and Private clouds including container-based Kubernetes environments.

Work with cross-functional teams to test, implement and deploy models and improve analytical solutions by providing data-driven recommendations

Collaborate with data, design, product and engineering teams to drive effective ML workflows.

Basic Qualifications:

Advanced Degree in field of Computer Science, Data Science or equivalent engineering discipline

Master's degree preferred

PHD good to have but not necessary

Primary Skillset

Minimum 10 years of working experience in software industry especially in Data based solution domain with minimum 5+ years into enterprise grade Machine Learning solution build and deploy

Extensive experience in model development, deployment and online updates

Experience in Business Stakeholder engagement and communication during the a Machine Learning Project execution

Well versed in both Theoretical and Practical aspects of Machine Learning.

Should have few enterprise grade projects both using Machine Learning and Deep Learning

Conversant with State of Art NLP techniques i.e. Latest Embedding methods, Transfer Learning and Domain Adaptation methods

Should be comfortable in reading, interpreting and implementing latest Research papers into enterprise space

Conversant in general machine learning techniques i.e. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization

Expertise with Python, Spark is expected

Expertise in at least one of Tensorflow and PyTorch

Experience in cloud based model development platforms like AWS Sagemaker

Model deployment frameworks i.e. RestFul API, Endpoint creations etc.

Advanced SQL skills - comfortable working with very large data setsJPMorgan Chase & Co., 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.