ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Madison, AL

Camgian

Senior AI Engineer

Huntsville, AL · On-site

$103K - $142K/yr

... Engineer ... The role involves applying state-of-the-art Artificial Intelligence, Machine Learning, Computer ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

Torch Technologies is seeking a highly analytical and mathematically minded Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our AI/ML team. The candidate will support the Missile ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL

Torch Technologies is seeking a highly analytical and mathematically minded Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our AI/ML team. The candidate will support the Missile ...

Boeing

Senior Data Scientist

Huntsville, AL

$162K - $219K/yr

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field * This position ...

New

Boeing

Senior Data Scientist

Huntsville, AL

$162K - $219K/yr

Bachelor's degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field * This position ...

New

next page

Showing results 1-20

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Madison, AL

Artificial Intelligence Machine Learning Engineer information

See Madison, AL salary details

$28.2K

$115.4K

$173.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for artificial intelligence machine learning engineer in Madison, AL is $115,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $138,900.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Madison, AL? For Artificial Intelligence Machine Learning Engineer jobs in Madison, AL, the most frequently searched job titles are:
What cities near Madison, AL are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Madison, AL with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you

Mid-level Machine Learning Engineer with Security Clearance

Astrion

Huntsville, AL • On-site

Other

Re-posted 14 days ago

Job description

Overview Machine Learning Engineer JOB LOCATION: Huntsville, Al JOB STATUS: Full-time CLEARANCE: TS/SCI w CI/Poly TRAVEL: As needed Astrion seeking a Machine Learning Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources. The ideal candidate will have a background in AI/ML model development and deployment and have experience in Python programming, handling SQL databases, and working in command line interfaces. The team will work with technologies including: * Open source, commercial, and government software packages such as Docker, Python, Jupiter Notebooks, PostgreSQL, and other tools. * Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub. Work Environment * Working conditions are normal for an office environment. * Fast paced, deadline-oriented environment. * May require periods of non-traditional working hours including consecutive nights or weekends (if applicable). REQUIRED QUALIFICATIONS / SKILLS * TS/SCI with CI Polygraph * Degree in Computer Science, Statistics, Mathematics, Physics or another quantitative field. * 1-3 years of experience working with ML frameworks * Programming proficiency in Python and extensive knowledge of ML frameworks, libraries data structures, and data modeling. * Solid understanding of the full ML development lifecycle. * Experience working with SQL and NoSQL databases. * Experience with both Linux and Windows operating systems. * Knowledge of CI/CD and Agile methodologies. * Understanding of software design and system integration. PREFERRED QUALIFICATIONS / SKILLS * Experience with petabyte scale data sets * Experience with multi-INT analytics * Experience deploying, monitoring, and scaling models in production environments RESPONSIBILITIES * Integrate ML systems with other software components, ensuring that machine learning pipelines work within the overall product architecture. * Manage the transition from prototype to production, including setting up model deployment pipelines and monitoring solutions. * Construct optimized data pipelines to feed ML models; run tests and experiments and document findings. * Monitor model performance post-deployment including managing model drift, rollback, and failure scenarios. * Write clean, testable, maintainable code in Python and other languages. #CJ

Apply