1+ months

Machine Learning Engineer

New York, NY 10176
Machine Learning Engineer



New York, New York













































**Job Description:**

















Responsible for developing, enhancing, modifying and/or maintaining applications in the Global Markets environment. Software developers design, code, test, debug and document programs as well as support activities for the corporate systems architecture. Employees work closely with business partners in defining requirements for system applications. Employees are expected to have in-depth capital markets product knowledge, and manage a high level of risk. Employees typically have in-depth knowledge of development tools and languages. Is clearly recognized as a content expert by peers. Individual contributor role. Typically requires 5-7 years of applicable experience. This job code is only to be used for associates supporting Global Markets.











JOB DESCRIPTION











Machine Learning Engineer











_Responsibilities_





+ Design and develop scalable ML/AI solutions to solve diverse business challenges by deriving features from rich data sources, training, evaluating and deploying models to production using cutting edge technologies

+ Gather and analyze data to perform statistical analysis, identify key factors and build comprehensive visualizations to report findings

+ Utilize statistical methods to process, clean and validate data for uniformity and accuracy

+ Create and maintain end-to-end data pipelines and APIs according to business requirements

+ Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems











_Requirements_





+ 5+ years in a data science role with proven record of implementing end-to-end ML/AI solutions into production

+ 5+ years of experience using statistical computer languages, such as R or Python (preferred)

+ 2+ years of experience working with large data sets (> 1TB) and using big data solutions such as Hadoop, Hive, Spark, Storm, MongoDB etc.

+ 1+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM) and NLP frameworks

+ Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks

+ Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve

+ Proficiency with writing SQL queries

+ Masters degree or PhD in computer science, applied mathematics, or related technical/scientific field _preferred_

+ Experience with data visualization tools, such as Tableau, is a plus

+ Prior work experience in the financial industry is a plus

















Bank of America's Global Banking and Markets Technology Organization....





+ **_Believes diversity makes us stronger so we can reflect, connect and meet the diverse needs of our clients and employees around the world._**

+ **_Is committed to building a workplace where every employee is welcomed and given the support and resources to perform their jobs successfully._**

+ **_Wants to be a great place for people to work and strives to create an environment where all employees have the opportunity to achieve their goals._**

+ **_Provides continuous training and development opportunities to help employees achieve their career goals, whatever their background or experience._**

+ **_Is committed to advancing our tools, technology, and ways of working to better serve our clients and their evolving business needs._**

+ **_Believes in responsible growth and is dedicated to supporting our communities by connecting them to the lending, investing and giving them what they need to remain vibrant and vital._**























**Shift:**



1st shift (United States of America)













**Hours Per Week:**



40





Learn more about this role





















Full time





JR-20007367











Manages People: No





Travel: No









Manager:















Talent Acquisition Contact:















Referral Bonus:

























Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.





To view the "EEO is the Law" poster, CLICK HERE at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf .


To view the "EEO is the Law" Supplement, CLICK HERE at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf .













Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (Policy) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.





To view Bank of Americas Drug-free workplace and alcohol policy, CLICK HERE .

Industry

  • Banking / Finance
Posted: 2020-02-05 Expires: 2020-08-02

Success begins with building relationships.

At Bank of America, our customers are at the center of everything we do. Our focus is on helping each one find the right financial solutions. With a wide range of career opportunities available, we invite you to realize your career goals with us while assisting customers with what matters most to them.

Welcome to Careers at Bank of America.


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Machine Learning Engineer

Bank of America
New York, NY 10176

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