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Internship Machine Learning Quant Jobs in Alabama

Guidehouse

Epidemiologist Data Scientist

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead quantitative analysis and modeling of real-world data, including CMS, commercial claims, and ... Design, implement, and refine machine learning and statistical models (e.g., regression, clustering ...

Cornerstone Research

Summer Analyst

Birmingham, AL · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Cornerstone Research

Summer Analyst

Mobile, AL · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Cornerstone Research

Summer Analyst

Montgomery, AL · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Cornerstone Research

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

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All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Alabama

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

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For Internship Machine Learning Quant jobs in Alabama, the most frequently searched job titles are:

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Cities in Alabama with the most Internship Machine Learning Quant job openings:

Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Mid-level Software Developer: HSV-26123

Http://www.decibelresearch.com/

Huntsville, AL • On-site

Full-time

Re-posted 12 days ago

Job description

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL.

Position Description:

We are seeking a mid-level AI Software Developer (5–10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.

You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.

Responsibilities Include

  • Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices.
  • Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources.
  • Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers.
  • Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies.
  • Create scalable data models and services that support analytics, reporting, and digital engineering initiatives.
  • Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment.
  • Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures.
  • Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities.
  • Prototype innovative AI solutions and mature successful concepts into production-ready software.
  • Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges.

Education Requirements:

BS Computer Science or Computer Engineering

Experience Requirements:

  • A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships.
  • Demonstrative experience with at least one modern programming language (Python, C++, Rust)
  • Experience with Linux operating system
  • Built at least one meaningful service/API
  • System-level thinking
  • Git + Linux proficiency
  • Curiosity, problem-solving, and a willingness to experiment.
  • Comfort working in collaborative, iterative development environments.
  • Strong communication skills and a desire to grow.

Special Skills Desired:

  • 5–10 years of software development experience with strong proficiency in Python or similar scripting languages.
  • Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies.
  • Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools.
  • Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
  • Experience developing RESTful APIs and working with structured and unstructured data.
  • Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.

Apply