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Junior Machine Learning Engineer Jobs in Decatur, AL

Nou Systems Inc

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

You will help deploy, scale, and standardize machine learning development workflows in support of ... s Engineer, you will help architect, implement, and maintain modern ML development pipelines. You ...

Camgian Corporation

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ... Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous ...

Camgian Corporation

Senior Software Engineer

Huntsville, AL · On-site

$120K - $159K/yr

Production deployment of Machine Learning (ML) models Responsibilities * Lead software development ... Train & mentor junior engineers, perform architecture, design and code reviews * Lead continuous ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ... Provide mentorship and guidance to junior engineers * Track project/product milestones and releases ...

Camgian Corporation

Senior AI Engineer

Huntsville, AL · On-site

$103K - $141K/yr

We are focused on applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ... Provide mentorship and guidance to junior engineers * Track project/product milestones and releases ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Decatur, AL

Junior Machine Learning Engineer information

See Decatur, AL salary details

$31.4K

$67.3K

$102.7K

How much do junior machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for junior machine learning engineer in Decatur, AL is $67,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What job categories do people searching Junior Machine Learning Engineer jobs in Decatur, AL look for? The top searched job categories for Junior Machine Learning Engineer jobs in Decatur, AL are:
What cities near Decatur, AL are hiring for Junior Machine Learning Engineer jobs? Cities near Decatur, AL with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Decatur, AL as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,308 per year, or $32.4 per hour.
DevOps Engineer

DevOps Engineer

Nou Systems Inc

Huntsville, AL • On-site

$120K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

nou Systems, Inc. (nSI) solves diverse and challenging technical problems in an enjoyable, stimulating environment while providing unsurpassed value to our customers.

We are pleased to announce the opening for a DevOps Engineer who will join our Research and Development division, supporting teams working on advanced AI/ML applications in missile defense, battle management, and related domains. You will help deploy, scale, and standardize machine learning development workflows in support of Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) projects.

You’ll work at the intersection of infrastructure, software engineering, and machine learning to enable high-performing research teams to deliver impactful, secure, and maintainable solutions.

Responsibilities:

As an DevOps Engineer, you will help architect, implement, and maintain modern ML development pipelines. You’ll collaborate across multiple research teams, supporting their ability to develop, test, and deploy machine learning capabilities quickly and securely.

You will:

  • Build and maintain GPU-capable development environments and containerized workflows.
  • Develop CI/CD pipelines (e.g., GitLab CI) with automated testing, linting, and deployment.
  • Implement and enforce GitLab merge request policies and code quality standards.
  • Create shell scripts and config files to streamline setup, reproducibility, and remote development (e.g., SSH-based HPC access).
  • Define and document standardized ML development practices across teams.
  • Collaborate with ML researchers, software engineers, and cybersecurity teams to transition prototypes into production-ready systems.
  • Support secure deployment of ML solutions in DoD-restricted environments.
  • Contribute to SBIR/STTR project execution and proposal development.

Basic Qualifications:

  • A bachelor’s degree in computer science or a related technical field.
  • 4 years of experience in DevOps - including support for GPU-accelerated workloads.
  • U.S. citizenship and the ability to obtain a Secret security clearance.

Candidates must meet all basic qualifications to be considered.

Preferred Qualifications

  • Strong proficiency in Linux-based development, shell scripting (Bash), and remote development on GPU-accelerated hardware.
  • Hands-on experience with containerization and reproducibility using Podman (or similar) and tools like Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories (e.g., Artifactory).
  • Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent), including automated testing, MR enforcement, and runner configuration.
  • Familiarity with Python-based machine learning frameworks and tooling (e.g., PyTorch Lightning, Optuna, MLflow, Ray-RLLib).
  • Experience deploying ML solutions in secure, classified, or DoD-restricted environments.
  • Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) and DevSecOps best practices.
  • Understanding of software supply chain security, including artifact validation and SBOMs.
  • Strong communication skills with a track record of writing clear technical documentation and supporting onboarding across technical teams.

nou (pronounced ‘new’) Systems:

Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions.

We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family.

Benefits of working at nSI

nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following:

  • Competitive Wages*
  • Medical, Rx, Dental & Vision Insurance
  • Medical plan with Health Savings Account eligibility
  • Company-funded Life, Short-Term & Long-Term Disability Insurance
  • Personal Time Off, Vacation, and Paid Holidays
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan (ESOP)
  • Flexible Spending Accounts
  • Norton LifeLock
  • Tuition Reimbursement
  • Personal Development, Technical Learning Opportunities, & Lunch-n-Learns
  • Corporate Sponsored Events & Community Outreach

*Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.

nSI is an Equal Opportunity Employer

Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit www.nou-systems.com/workingatnou. U.S. citizenship is required for most positions.

Annual Salary Range: $120,000 - $165,000