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Artificial Intelligence And Machine Learning Jobs in Alabama

General Engineer

Redstone Arsenal, AL ยท On-site +1

$130K - $197K/yr

... artificial intelligence/machine learning. * Identify and resolve highly complex problems crossing organizational boundaries and promulgate solutions. * In cooperation with coworkers, identify needs ...

Senior Software Architect

Montgomery, AL ยท On-site

$128K - $174K/yr

Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor ...

Senior Software Architect

Montgomery, AL ยท On-site +1

$128K - $174K/yr

Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. * Mentor ...

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Artificial Intelligence And Machine Learning information

See Alabama salary details

$12

$23

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for artificial intelligence and machine learning in Alabama is $23.88, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $25.29 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Alabama?

For Artificial Intelligence And Machine Learning jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Artificial Intelligence And Machine Learning jobs?

Cities in Alabama with the most Artificial Intelligence And Machine Learning job openings:

Infographic showing various Artificial Intelligence And Machine Learning job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $49,673 per year, or $23.9 per hour.

Artificial Intelligence / Machine Learning Engineer

DESE Research, Inc.

Huntsville, AL โ€ข On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

DESE's Cyber Works and Digital Engineering teams design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of: Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.Core Responsibilities:Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.Minimum Requirements: Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in Python and at least one additional language (Java, C++).Strong understanding of data structures, data modeling, and software architecture.Highlighted Skills & Experience: Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.Classic ML: Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.AI Assurance: Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.Platform & DevSecOps: REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).Domain: Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.Why This Role Matters:You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.About DESEFor the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.Why employees love working for DESE:At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:Competitive health, dental and vision insurance with affordable premiumsFlexible work schedulesTwo different flexible spending account optionsCompany paid life insurance with options for employee paid additionalPerformance bonus programEducation reimbursement programCompany paid personal leave for approved philanthropic activitiesVacation, Sick & Holiday leaveRobust 401k profit sharing planOpportunities for internal promotionsEmployee referral incentive programRewards and gifts for service anniversariesDisability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: hrandsecurity@dese.com or 256-837-8004x123.
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