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Intern Vector Jobs in Florida (NOW HIRING)

Intern Vector information

What typical projects or tasks can an Intern Vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What are Intern Vectors?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

What are the key skills and qualifications needed to thrive as an Intern Vector, and why are they important?

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.
What are the most commonly searched types of Vector jobs in Florida? The most popular types of Vector jobs in Florida are:
What cities in Florida are hiring for Intern Vector jobs? Cities in Florida with the most Intern Vector job openings:
Software Engineering Intern (AI, BI, DevOps)

Software Engineering Intern (AI, BI, DevOps)

Tampa Brass & Aluminum Corp

Tampa, FL

$15 - $16/hr

Internship

Posted 25 days ago


Job description

Employment Type: Paid Internship

Duration: 6-month internship with the possibility to extend based on performance and project needs
Eligibility: U.S. Citizen or Green Card Holder

Overview
We are seeking a motivated Software Engineering Intern to join our technical team and gain hands-on experience across several cutting-edge domains including Business Intelligence (BI), Computer Vision, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and DevOps.

This internship is ideal for students or early-career technologists who enjoy solving complex problems, experimenting with emerging technologies, and contributing to meaningful, real-world projects. You will work alongside senior engineers on initiatives that support analytics, automation, and AI-driven solutions across our organization.

Key Responsibilities
Computer Vision & AI Projects
· Collaborate on building, training, and testing machine learning or computer vision models.
· Support data preprocessing, image labeling, and model evaluation.
· Assist in developing RAG pipelines, integrating vector databases, and fine-tuning LLMs for internal knowledge systems.
· Use Open WebUI and related frameworks to build and test conversational or AI assistant interfaces.

Automation & Workflow Engineering
· Leverage n8n for building and orchestrating workflow automations between internal systems and APIs.
· Integrate automation into business processes, dashboards, and AI/LLM pipelines.
· Document and version automation workflows for reuse and maintainability.

Data & BI Dashboards
· Assist in designing and developing dashboards using tools such as Power BI, Metabase, or Grafana.
· Work with data engineers to visualize KPIs, operational metrics, and predictive insights.
· Automate data pipelines and ETL processes using SQL, scripting, or n8n automation workflows.

DevOps & Infrastructure
· Learn to deploy and monitor applications using Docker, Kubernetes, and CI/CD pipelines.
· Gain exposure to GitOps tools such as Gitea, Argo CD, and Harbor for container registry and continuous deployment.
· Assist in setting up and maintaining on-premise and cloud environments (AWS, Azure).
· Participate in system automation, observability, and logging/monitoring initiatives.

Collaboration & Documentation
· Work closely with engineers, data scientists, and leadership to deliver prototypes, reports, and production-ready modules.
· Help document APIs, workflows, and system architecture for technical reference.

Desired Skills & Traits
· Strong foundation in one or more programming languages (Python, JavaScript/TypeScript, Java, or C#).
· Solid understanding of SQL and relational databases (MySQL, PostgreSQL, etc.).
· Familiarity with data visualization tools (Power BI, Metabase, Grafana).
· Basic understanding of machine learning frameworks (PyTorch, TensorFlow, or OpenCV a plus).
· Understanding of RAG, vector databases, and LLM integration workflows.
· Experience or interest in automation tools such as n8n.
· Basic knowledge of networking concepts, including DNS, firewalls, and network routing.
· Experience or curiosity about cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
· Comfortable using Linux and command-line tools.
· Strong analytical mindset, attention to detail, and eagerness to learn.
· Effective communication and documentation skills.

Learning Outcomes & Goals (First 90–180 Days)
· Build and deploy a computer vision or AI prototype, incorporating LLM and RAG components.
· Develop and deploy APIs for system integrations and AI workflows.
· Design and implement one or more BI dashboards visualizing real operational data.
· Create and automate workflows using n8n to connect data sources, dashboards, and AI services.
· Gain experience with DevOps workflows using Gitea, Argo CD, Harbor, Helm, and Kubernetes.
· Deploy and manage AI interfaces using Open WebUI, integrating internal models and data.
· Present completed projects and findings to the engineering and leadership teams.

Job Type: Internship

Pay: $15.00 - $16.00 per hour

Work Location: In person