Software Engineering-AI-Machine Learning at JPMorgan Chase Bank, N.A. (Plano, TX)

Do you like to engineer large scale mission critical solutions that are Always On? Do you like to contribute where cutting edge software development, global scale system architecture, Data and enterprise systems and tools intersect? Are you curious about how things break, so that you can eliminate these failure modes? Are you driven to eliminate toil by designing/adopting better tools and automation techniques? If so, we would love to have you in our CTO Engineering team.

We are looking for a Data Scientist/ML Engineer to join our technology team to solve exiting business problems in the domain of Data Governance. Candidates must have strong curiosity for data and a proven track record of successfully applying rigorous scientific method with proficiency in ML Engineering. This is a unique opportunity to apply your skills and have a direct impact. As an experienced member of our Software Engineering Group we look first and foremost for people who are passionate around solving business problems through innovation & engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

This role requires a wide variety of strengths and capabilities, including:
* Build an train production grade ML models on large-scale datasets to solve various data governance use cases
* Use Deep Learning models like CNN, RNN, and NLP (BERT) for solving various use cases
* Ability to build ML models across Public and Private clouds including container-based Kubernetes environments
* Advance degree in field of Computer Science, Data Science or equivalent discipline
* Knowledge of industry wide technology trends and best practices (Agile/Scrum).
* Ability to work with collaborative teams to achieve organizational goals, and passionate about building an innovative culture
* Understanding of software skills such as business analysis, development, maintenance and software improvement
* Strong on critical thinking, great communication and team work skill is essential to this role
* Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms)
* Experience with analytics (ex: SQL, Cypher, Presto, Spark, Python, AWS Suit)
* Expertise with Python, PySpark, DL frameworks like TensorFlow and MLOps

JPMorgan 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.

Equal Opportunity Employer/Disability/Veterans