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Internship Apple Machine Learning Engineer Jobs in Alabama

IGNITE

MACHINE LEARNING ENGINEER

Huntsville, AL · On-site

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education Bachelor's Degree Security Clearance ...

IGNITE

MACHINE LEARNING ENGINEER

Huntsville, AL · On-site

They are seeking a detail-oriented Machine Learning Engineer to support the Missiles and Space Intelligence Center, focusing on integrating ML systems, managing model deployment, and optimizing data ...

SynergisticIT

Machine Learning Engineer

Birmingham, AL · On-site

Work with an international top-notch engineering team with full commitment on Machine Learning development. Skills Required: * Passionate about search and AI technologies. Open to collaborating with ...

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Internship Apple Machine Learning Engineer information

What is the difference between Internship Apple Machine Learning Engineer vs Software Engineering Intern?

AspectInternship Apple Machine Learning EngineerSoftware Engineering Intern
Required CredentialsRelevant coursework, programming skills, some experience in MLComputer science fundamentals, programming skills, coursework
Work EnvironmentResearch-focused, data-driven projects within AppleSoftware development projects, coding, testing
Employer & Industry UsageApple, technology, AI/ML applicationsVarious tech companies, software development

Both roles involve programming and technical skills, but the Internship Apple Machine Learning Engineer focuses on machine learning projects within Apple, requiring knowledge of ML frameworks. The Software Engineering Intern role is broader, emphasizing general software development. Candidates interested in AI/ML should consider the Machine Learning Engineer internship for specialized experience, while those seeking general software development roles may prefer the Software Engineering Intern position.

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Internship Apple Machine Learning Engineer jobs near you

Machine Learning Engineer

V-CENTRIX-US LLC

Huntsville, AL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Title: Machine Learning Engineer TS/SCI
Status: Full-Time (Hybrid set up after 6 months)
Location: Huntsville, Alabama

Ideal Candidate
ideal candidate is a senior Machine Learning Engineer with an active TS/SCI clearance, deep Python expertise, and proven experience deploying machine learning solutions into production environments. They are highly skilled in data pipeline engineering, CI/CD workflows, containerized deployments, and integrating ML systems within larger secure architectures. They thrive in mission-driven environments, balancing strong software engineering fundamentals with hands-on machine learning implementation and operational support.

Position Overview

A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This is an onsite role supporting mission-critical projects involving large-scale data processing, machine learning model deployment, and system integration.
This role is ideal for someone who thrives in highly secure environments and has experience taking machine learning solutions from concept through production deployment.

Key Responsibilities

  • Design and integrate machine learning systems with broader software platforms and infrastructure
  • Build and optimize data pipelines that support machine learning workflows
  • Transition machine learning prototypes into production-ready solutions
  • Develop deployment pipelines for machine learning models
  • Monitor model performance and address model drift, failures, and rollback scenarios
  • Conduct testing, experimentation, and documentation of model performance
  • Write clean, scalable, and maintainable code primarily in Python
  • Collaborate with technical teams to ensure machine learning solutions align with overall architecture
  • Support CI/CD workflows and GitOps practices

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL databases
  • Linux and Windows environments

Required Qualifications

  • Bachelor''s degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
  • Minimum of 12 years of overall professional experience
  • 1-3 years of hands-on experience working with machine learning frameworks
  • Strong programming experience in Python
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Understanding of software design principles and system integration
  • Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

Preferred Qualifications

  • Master''s degree in a related field with 12 years of experience
    OR
  • Bachelor''s degree in a related field with 17 years of experience
  • Experience working with petabyte-scale datasets
  • Background in multi-source intelligence analytics
  • Experience deploying, monitoring, and scaling machine learning models in production environments

Key Skills Required

  • Machine Learning Model Deployment
  • Python Development
  • Data Pipeline Engineering
  • CI/CD Implementation
  • Cloud/Container Technologies
  • System Integration
  • Database Management

Apply