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Wells Fargo Senior Software AI/ML Quality Engineer United States, Iowa, West Des Moines 946899958
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In this role, you will:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Required Qualifications:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of experience with programing language languages such as Java and C#, APIs, etc.
2+ years of design, develop, and deploy LLM-powered applications and services.
1+ year of experience with NLP techniques such as tokenization, embeddings, transformers, and attention mechanisms.
Desired Qualifications:
Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Experience with data preprocessing, feature engineering, and model evaluation.
Experience with deploying machine learning models in production environments and integrating ML into applications.
Knowledge of ML Ops practices and tools.
Knowledge of Rule Engine Technology
Job Expectations:
AI Development: Design, develop, and implement AI algorithms and models to solve complex business problems.
Machine Learning Knowledge: Apply machine learning techniques, including deep learning, and reinforcement learning, to create innovative solutions.
Data Analysis: Perform data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for AI model training.
Performance Optimization: Optimize AI models for performance, scalability, and efficiency in production environments.
Project Management: Participate in project planning, estimation, and execution, ensuring timely delivery of AI features and enhancements.
Code Quality: Write clean, maintainable, and efficient code following best practices and coding standards.
This position is not eligible for Visa sponsorship
Pay Range
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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