In this role, you will:
- Lead or participate in complex initiatives on selected domains
- Assure quality, security and compliance for supported systems and applications
- Serve as a technical resource in finding software solutions
- Review and evaluate user needs and determine requirements
- Provide technical support, advice, and consultation with the issues relating to supported applications
- Create test data and conduct interfaces and unit tests
- Design, code, test, debug and document programs using Agile development practices
- Understand and participate to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
- Conduct research and resolve problems in relation to processes and recommend solutions and process improvements
- Assist other individuals in advanced software development
- Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
Required Qualifications:
- 4+ years of Specialty 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).
- Familiarity 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 MLOps practices and tools.
- Knowledge of Rule Engine Technology
- Experience with data preprocessing, feature engineering, and model evaluation.
Job Expectations:
- AI Development: Design, develop, and implement advanced AI algorithms and models to solve complex business problems.
- Machine Learning Expertise: Apply machine learning techniques, including supervised and unsupervised learning, 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.
- Collaboration: Work closely with data scientists, product managers, and other engineers to integrate AI solutions into existing systems and products.
- 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.
10 Mar 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.