Machine Learning Implementation Engineer
J. P. Morgan | Cambridge,MA,US
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Short Description

J.P. Morgan is looking for Machine Learning Implementation Engineer who has experience building production services and/or models, preferably as part of a product development team. A track record of implementing data-driven products is ideal. Also master of SQL-like databases (e.g. PostGres, Impala, Hive), preferably with experience with Spark and other big data platforms.

Job Description

Responsibilities:
  • You have a strong foundation in Machine Learning and Computer Science and an understanding of applied statistics and math. You have a broad understanding of state of the art in Machine Learning.
  • You are a master of SQL-like databases (e.g. PostGres, Impala, Hive), preferably with experience with Spark and other big data platforms.
  • You are a proficient Python programmer and have at least some exposure to R. Regardless of your favorite scientific computing environment, you can flex between the two languages.
  • You have experience building production services and/or models, preferably as part of a product development team. A track record of implementing data-driven products is ideal.
  • You have worked in a collaborative development environment and have experience with continuous integration and delivery.
  • You can describe and speak in an approachable way about complex analyses and concepts within a cross-functional team. You are a great "analytic translator".
  • Develop robust, scalable production data science products based on prototype algorithms developed in Python or Spark by the data science team. You'll evaluate trade-offs and do performance tuning for production traffic.
  • Iterate, and innovate on Machine Learning algorithms in collaboration with Machine Learning Engineers and Software Engineers
  • Collect, process and cleanse data from a wide variety of sources. Transform and convert unstructured data set into structured data for algorithm input.
  • Evaluate the effectiveness of user experiences, determining what data is needed and how to collect it

Required Educational Skills:
  • M.S. or Ph.D in Computer Science or relevant quantitative science
  • Minimum of 5 years in a data science engineering role
  • Experience working with product development teams and/or with developers

Machine Learning Implementation Engineer
Mid-Senior-level Technology | Information Technology | Information Full-time Management | Other | Engineering Python | Machine Learning Engineer | Java
J.P. Morgan is a leading global financial services firm, established over 200 years ago:
o We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.
o We have assets of $2.5 trillion and operations worldwide
o We operate in more than 100 markets.
o We have more than 243,000 employees globally.
Our wholesale businesses include J.P. Morgans Asset Management, Commercial Banking and the Corporate & Investment Bank which provide products and services to corporations, governments, municipalities, non-profits, institutions, financial intermediaries and high-net worth individuals and families.
Our corporate functions support the entire organization and include the following functions: Accounting, Audit, Finance, Human Resources, Operations, and Technology.
J.P. Morgan in India provides a comprehensive range of Corporate & Investment Banking, Commercial Banking, Asset & Wealth Management, and Corporate functions services and solutions to our clients, executing some of the most important financial transactions and providing essential strategic advice to our clients such as the government, large domestic and multi-national corporations, non-government organizations and financial institutions and investors. India is a key market for JPMorgan Chase globally and our employees in India are a critical part of how we do business globally and are integrated within our businesses. Our Global Service Centers (GSCs) are strategically positioned in Mumbai, Bangalore and Hyderabad to support the firms operations regionally and globally. The centers provide comprehensive strategic support across technology and business operations processing to all lines of business and the corporate functions.