WE

Principal Engineer

Wells Fargo
Hyderabad7-12 LPA Posted 30 Apr 2025
FULL TIME
Data Science
Natural Language Processing
Python

Job Description

About this role:

Wells Fargo is seeking a Principal Engineer.

In this role, you will:

  • Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions
  • Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Strong programming skills (preferably Python)
  • Knowledge of data science, statistics & mathematics
  • Experience with cloud implementation (preferable GCP)
  • Ability to analyze and extract relevant features for training machine learning models
  • Design & build machine learning systems that use AI to learn & improve

Job Expectations:

  • Designing ML systems
  • Model evaluation
  • AI Model Use cases implementation in production
  • Gen AI use case implementation
  • Data Science
  • Natural language processing
  • Problem Solving

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