1+ months

Machine Learning Operationalization Engineer - Apps Systems Engineer 5

Fredericksburg, TX 78624
  • Job Code
Job Description

EIT AI and ML Platform team is looking for a highly motivated and experienced machine learning developer/engineering resource with machine learning background. The role will require the candidate to 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 the Platform.


1. Development of Python/R/Java based batch applications.

2. Installing and configuration of the machine learning tools.

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

4. Post production support of the ML Platform.

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

6. Support of batch processing applications.

7. Support of REST API services.

8. 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

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
  • 3+ years of leadership/team leading experience
  • 8+ years of experience in Python,R based applications and or services
  • 2+ years of experience with Machine Learning using Python/R/SparkML etc.
  • 3+ years of experience with big data/ Hadoop
  • 3+ years of experience in Machine Learning
  • Hands on expertise in Linux commands and should be an expert in Linux environemnt
  • 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

MN-Minneapolis: 255 2nd Ave S - Minneapolis, MN
IA-West Des Moines: 7001 Westown Pkwy - West Des Moines, IA
AZ-Chandler: 2600 S Price Rd - Chandler, AZ
CA-SF-Financial District: 333 Market St - San Francisco, CA
NY-New York: 150 E 42nd St - New York, NY
NC-Charlotte: 1525 W Wt Harris Blvd - Charlotte, NC
NC-Charlotte: 401 S Tryon St - Charlotte, NC
NJ-North Brunswick: 100 Fidelity Plz - North Brunswick, NJ
TX-San Antonio: 4101 Wiseman Blvd - San Antonio, TX
NC-Winston Salem: 809 W 4 1/2 St - Winston Salem, NC
MO-Saint Louis: 1 N Jefferson Ave - Saint Louis, MO


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 Operationalization Engineer - Apps Systems Engineer 5

Wells Fargo
Fredericksburg, TX 78624

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Machine Learning Operationalization Engineer - Apps Systems Engineer 5

Wells Fargo
Fredericksburg, TX

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