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From Home Machine Learning Compiler Engineer Jobs in Alabama

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You will learn and apply new techniques from open source packages and research publications, and ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... An Agency seeking a placement fee must obtain advance written approval from Indeed's internal ...

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job ... from prototype to production, including setting up model deployment pipelines and monitoring ...

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From Home Machine Learning Compiler Engineer information

What is the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?

AspectFrom Home Machine Learning Compiler EngineerFrom Home Data Scientist
Required SkillsProgramming (C++, Python), compiler design, ML frameworksStatistics, data analysis, programming (Python, R), visualization
Work EnvironmentRemote, software development teams, tech companiesRemote, analytics teams, research institutions
Industry UsageTech, AI, hardware optimizationTech, finance, healthcare, research

While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Alabama? The most popular types of Machine Learning Compiler Engineer jobs in Alabama are:
What are popular job titles related to From Home Machine Learning Compiler Engineer jobs in Alabama? For From Home Machine Learning Compiler Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in Alabama look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in Alabama are:
What cities in Alabama are hiring for From Home Machine Learning Compiler Engineer jobs? Cities in Alabama with the most From Home Machine Learning Compiler Engineer job openings:
Machine Learning Engineer

Other

Posted 11 hours ago


Job description

Machine Learning Engineer

Job Type: Full-Time (Hybrid set-up after 6 months) Location: Huntsville, AL Mandatory: Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding

About the Role A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This opportunity is ideal for someone who excels in highly secure environments and has experience taking machine learning solutions from concept through full-scale production deployment. The role focuses on large-scale data processing, machine learning deployment, and enterprise system integration for mission-critical initiatives. This position requires working onsite during the first 6 months to support onboarding, team integration, and project ramp-up. After the initial 6-month period, the role transitions to a hybrid schedule.

Key Responsibilities

  • Design, build, and integrate machine learning solutions into broader software systems and infrastructure
  • Conduct testing, experimentation, validation, and performance documentation
  • Write clean, scalable, and maintainable Python code
  • Collaborate with engineering teams to ensure machine learning solutions align with system architecture
  • Develop and optimize data pipelines that support machine learning workflows
  • Convert machine learning prototypes into scalable, production-ready applications
  • Create deployment pipelines for machine learning models
  • Monitor model performance and resolve issues related to drift, failures, and rollback scenarios
  • Support CI/CD workflows and GitOps practices
  • Work across secure Linux and Windows environments

Technology Environment

  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL Databases
  • Linux
  • Windows

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 Python programming experience
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience working with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Strong understanding of software design principles and system integration

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 supporting 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

Abode TechZone logo

About Abode TechZone

Sourced by ZipRecruiter

Abode is fast-growing staffing corporation, business growth depends on putting the right people in place — the professional talent that sets your organization apart from the competition. Abode’s vision is to provide best ever IT’s Staff Solutions services with an effective strategy which can address market fluctuations in key areas, such as time, cost, risk, flexibility, control, and expertise. We target to connect our partners with the best professional talent you need.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2019

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