8 days old
2017-12-022018-01-01

Machine Learning Platform Data Engineer - Apps Systems Engineer 5

Minneapolis, MN
  • Job Code
    5373398-1
Job Description

The Enterprise Artificial Intelligence and Machine Learning Platform team is looking for a highly motivated and experienced machine learning data engineering resource with machine learning background. The role will require the candidate to support data ingestion to Hadoop & develop python,R batch jobs, to install, configure, and support machine learning tools on Machine Learning Platform. The individual will be responsible for post-production support of data ingestion process and machine learning platform.

Responsibilities

1. Participate in the data ingestion process from source to Hadoop and machine learning platform.

2. Work with data sources to define the process touch points and tools.

3. Manage the ML Platform data staging environment. Work with applications provide prediction and scoring data models.

4. Development of Python/R/Java based applications.

5. Coordinating with Hadoop team to install necessary software for machine learning.

6. Post production support of the data related issues.

7. Work with users to coordinate the access to environments.

8. Support of batch processing applications.

9. Support of REST API services.

10. Work with business and technical leaders, sponsors, and analysts on problem understanding, requirements and architecture discovery, analyze complex business requirements, data analysis and modeling, designs and writes functional and technical specifications.



Required Qualifications

  • 7+ years of application development and implementation experience
  • 3+ years of experience with machine learning tools



Desired Qualifications

  • Good verbal, written, and interpersonal communication skills
  • Agile experience
  • SDLC (System Development Life Cycle) experience
  • Ability to work effectively in virtual environment where key team members and partners are in various time zones and locations
  • Knowledge and understanding of project management methodologies: used in waterfall or Agile development projects



Other Desired Qualifications
  • 5+ years of experience in ETL/Data Modeling of big data on Hadoop
  • 8+ years of experience in Python,R based applications and or services
  • 2+ years of experience with Machine Learning using Python/R/SparkML etc.
  • 4+ years of experience with big data/ Hadoop
  • Hands on expertise in Linux commands and should be an expert in Linux environment
  • Experience with Spark/Hive/Kafka
  • Understanding of Deep Learning concepts
  • Developing and managing REST API using Java,Python ,R


Job Expectations

  • Ability to work on call as assigned
  • Ability to work nights, weekends, and/or holidays as needed or scheduled



Street Address

AZ-Chandler: 2600 S Price Rd - Chandler, AZ
CA-SF-Financial District: 333 Market St - San Francisco, CA
IA-West Des Moines: 7001 Westown Pkwy - West Des Moines, IA
MN-Minneapolis: 255 2nd Ave S - Minneapolis, MN
MO-Saint Louis: 1 N Jefferson Ave - Saint Louis, MO
NJ-North Brunswick: 100 Fidelity Plz - North Brunswick, NJ
NY-New York: 150 E 42nd St - New York, NY
NC-Charlotte: 1525 W Wt Harris Blvd - Charlotte, NC
NC-Winston Salem: 809 W 4 1/2 St - Winston Salem, NC
TX-San Antonio: 4101 Wiseman Blvd - San Antonio, TX



Disclaimer


All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

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Machine Learning Platform Data Engineer - Apps Systems Engineer 5

Wells Fargo
Minneapolis, MN

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Wells Fargo
Minneapolis, MN
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