Machine Learning Big Data Senior Developer - Vice President

JPMorgan Chase
Apply Now

Job Description

As a member of Machine learning Engineering team, we are looking for people who are passionate around business problem solving through innovation and engineer practices. You will be required to apply your depth of knowledge and expertise to all aspects of 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. Best yet, you will be joining a team of highly motivated and skilled software engineers who will help you to lay the foundations of a great career at JP Morgan Chase.

Roles & Responsibilities

  • Design Enterprise Machine Learning platforms that are capable of running predictive models.
  • 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.
  • Provides technical leadership, guidance and direction to other team members.
  • Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders.
  • Solving complex problems with datasets and optimize existing ML libraries and frameworks.
  • 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
  • Apply knowledge of machine learning model frameworks, algorithms and tools for building ML solutions
  • Deliver high-quality results under tight deadline

Qualifications

  • Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) - Bachelor's degree with 10 years of experience, or Master’s degree with 4 years of experience
  • Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
  • Strong experience in programming languages such as Java or Python
  • Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc)
  • Experience in building ML Models, experience with model accuracy and tuning. Working with Data structured and NLP models
  • Ability to juggle multiple priorities and effectively deliver in a fast-paced, dynamic environment
  • Strong Delivery management capabilities
  • Experience with Cloud technologies such as AWS or Azure.
  • Experience working with databases such as Cassandra, MongoDB or Teradata
  • Knowledge of build tools like Maven and source control like Git/SVN.
  • Experience in performance tuning, code optimization
  • Comfortable working in an Agile and collaborative environment.
  • Strong written and verbal skills

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

Get Similar Jobs In Your Inbox

JPMorgan Chase is currently hiring Machine Learning Big Data Developer Jobs in Wilmington, DE, USA with average base salary of $160,000 - $240,000 / Year.

Similar Jobs View More