Swbc
Financial Services
AIIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“AI Intern at Swbc. Skills: Generative AI, Machine Learning, Python, AWS. Build AI-enabled applications. Assist with MLOps pipelines”
What You'll Achieve.
Deliver working prototypes or production-ready components; Demonstrate measurable improvements (e.g., faster iteration, higher quality responses, improved reliability); Contribute to repeatable, documented workflows
Industry & Context.
Substance-Free Workplace, Pre-employment drug testing, Does not hire tobacco users
What They're Looking For.
Must Have
Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related field, Expected graduation date of December 2026 or later, Python (scripting, notebooks, basic software practices), ML/GenAI fundamentals (embeddings, transformers concepts, evaluation basics), AWS (S3, IAM, Lambda, EC2, CloudWatch, ECR, SageMaker, Jupyter notebooks), Basic API development (Flask/FastAPI), Git and collaborative development workflows, communication skills, Exposure to MLOps tools and practices (CI/CD, model registries, experiment tracking, monitoring), LLM application patterns (Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails), Containerization (Docker) and orchestration concepts, Software engineering fundamentals (unit tests, code reviews, documentation)
Nice to Have
AWS, SageMaker, Jupyter notebooks, Flask/FastAPI, Git, Docker
What You'll Do.
Build AI-enabled applications
Assist with MLOps pipelines
Support deployment and operations
Develop and maintain Python components
Participate in model testing
Help document designs
Collaborate with engineers
How You'll Work.
Team & Collaboration
Collaborate with engineers and product stakeholders; Work effectively in a corporate, cross-functional environment; Collaborate effectively with the team
Communication Scope
communication skills; communicate progress clearly
Full Job Description
SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is an exciting opportunity for college students who are motivated and eager to learn within their educational field of study. We’re seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications and product features, contributing to MLOps workflows, and helping deploy and monitor models in an AWS environment. The ideal candidate has hands-on experience with Python and foundational ML/GenAI concepts, and is eager to learn how production AI systems are built and maintained. _**Why you 'll love this role:**_ As an SWBC intern, you will be learning on the job in real-time from talented professionals within the financial services industry. We will develop, teach, mentor, and support your efforts throughout the internship. Our interns are given projects that are impactful and meaningful to SWBC, so interns will feel they are a valued team member of our SWBC family. _**Essential duties include the following:**_ * Build AI-enabled applications and prototypes leveraging generative AI and ML capabilities (e.g., retrieval-augmented generation, summarization, classification). * Assist with MLOps pipelines: data/model versioning, training workflows, evaluation, packaging, and deployment processes. * Support deployment and operations of models/services on AWS, including environment setup, basic CI/CD integration, and operational readiness tasks. * Develop and maintain Python components such as APIs, inference services, evaluation scripts, and tooling. * Participate in model testing and evaluation, including prompt experiments, performance benchmarking, and quality monitoring. * Help document designs, experiments, and results; contribute to team standards and best practices. * Collaborate with engineers and product stakeholders to translate requirements into
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