Applied AI Machine Learning Lead

JPMorgan Chase
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Job Description

This role requires a wide variety of strengths and capabilities, including: As a member of our Applied AI ML team in Legal Technology, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll 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. • Experience with Machine Learning Framework - working hands on experience • Understand NLP (Natural Language Processing) • Be a lead, guide business, mentor and set best practice. • Programming experience in Python and/or Java. • Experience with Cloud technologies such as AWS or Azure. • Experience working with databases such as Oracle, SQL, Cassandra, MongoDB or Teradata • Comfortable working with Containers (i.e. Dockers) and Virtual Machines • Comfortable working in an Agile and collaborative environment. • Strong written and verbal skills. Machine Learning Engineer Requirements: • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. • Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) - Bachelor's degree with 7+ years of experience, or Master’s degree with 5+ years of experience • Master’s degree in computational linguistics, data analytics, or similar will be advantageous. • At least five years' experience with Machine Learning Frameworks • Advanced proficiency with Python, Java, and R code writing. • Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc) • In-depth knowledge of mathematics and statistics behind Machine Learning models • Superb analytical and problem-solving abilities. • Experience with Cloud technologies. • Experience working with relational (i.e. SQL) and non-relational (i.e. MongoDB) databases • Experience in performance tuning, code optimization • Comfortable working in an Agile and collaborative environment. • Excellent time management and organizational abilities. • Strong written and verbal skills. Machine Learning Engineer Responsibilities: • Provides technical leadership, guidance, and direction to other team members. • Design, build and maintain ML models in production environment, working closely with business stake holders • Consulting with senior leadership to determine and refine machine learning objectives. • Document Machine Learning processes and keep abreast of Developments in Machine Learning. • Establish standards, guidance and best practices for ML Platform. • Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability. • Apply knowledge of machine learning model frameworks, algorithms and tools for building ML solutions • Build prototypes for demonstration and illustration purposes for peer groups, business partners, or senior leaders. • Extend the functionality of legacy ML applications. • Perform Exploratory Data Analysis using historical data to address business concerns, problem statements, and forecasting. • Experience with performing data cleansing using a modern programming language (i.e. Python) • Experience in NLP and Text Preprocessing (i.e. Topic Modeling, Tokenization, Word Embeddings, etc) • Building pipelines in spark, tuning spark queries • Need to have advance knowledge of application, data and infrastructure disciplines • Passionate about building an innovative culture • Understanding of software skills such as business analysis, development, maintenance, and software improvement • Stay abreast of developments in Machine Learning Research Community • Ability to deliver Machine Learning work items under time sensitive constraints

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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JPMorgan Chase is currently hiring Applied Machine Learning Engineer Jobs in Houston, TX, USA with average base salary of $120,000 - $190,000 / Year.

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