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Ai Data Developer Jobs in Alabama (NOW HIRING)

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

On-Site Description Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for ...

Deloitte

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Collaborate Across the Business Partner with IT, Security, DevOps, and business leaders to deliver ...

Deloitte

Data Engineer II

Birmingham, AL

$107K - $128K/yr

Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code. * Ability ... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and ...

Vultus Inc

Collaborate with Data Scientists, ML Engineers, Software Engineers, and Product teams. * Follow best practices for AI security, responsible AI, data privacy, and model governance. Primary Skills

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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For Ai Data Developer jobs in Alabama, the most frequently searched job titles are:

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The top searched job categories for Ai Data Developer jobs in Alabama are:

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Ai Data Developer jobs near you
Infographic showing various Ai Data Developer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI Engineer

Huntsville, AL • On-site

Decisive Intelligence Inc
IT Services • 1 - 10 employees
Learn more about Decisive Intelligence Incexternal

Full-time

Re-posted 5 days ago

Job description

Location: HUNTSVILLE, AL, United States
Date Posted: Mar 4, 2025
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: On-Site
Job Description
Description
Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for building, optimizing, and deploying AI-driven models, integrating data from multiple sources, and delivering actionable insights to inform strategic decisions. The ideal candidate is passionate about leveraging cutting-edge technologies to solve complex business challenges, has experience bringing AI products to market, and a track record of using data to improve processes, products, and services.
Job Responsibilities:
  • Design, build, and maintain ML/DL models for various AI applications. Continuously refine models for accuracy, efficiency, and scalability.
  • Analyze large datasets to identify patterns and insights. Develop hypotheses, design experiments, and validate findings using statistical methods.
  • Develop and maintain robust data pipelines ensuring data quality and usability. Collaborate with data engineering teams to optimize data infrastructure.
  • Support AI product development from prototyping to deployment and monitoring. Work with product managers, designers, and QA teams to integrate AI features.
  • Ensure scalable and efficient AI models and systems. Address latency and throughput to ensure a high-quality user experience.
  • Collaborate with product management and design teams for intuitive AI features. Translate complex AI functionalities into user-friendly interfaces.
  • Ensure AI solutions comply with privacy regulations (e.g., GDPR, CCPA). Maintain best practices for secure coding, data protection, and ethical AI.
  • Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing maintenance to ensure accuracy and reliability.
  • Work with cross-functional teams to translate business requirements into technical solutions. Communicate project status, findings, and roadblocks to stakeholders.
  • Stay current with AI research, tools, and best practices. Recommend emerging AI techniques to enhance product strategies and business objectives.

Qualifications
Education Requirements:
  • Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field and two (2) years' experience; Six (6) years' related experience can be considered in lieu of degree (per contract vehicle).

Clearance Requirements:
  • Must possess an active Secret security clearance or have the ability to obtain one; US Citizenship required.

Required Experience/Skills:
  • 2+ years of experience working on AI, machine learning, or data analytics projects.
  • Proven track record of developing and deploying AI/ML models in a production environment.
  • Experience with product development life cycles and Agile methodologies is a plus.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or Hadoop.
  • Experience using analytics and visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).
  • Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred).
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projects simultaneously.

Desired Experience/Skills:
  • Master's degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelines and CI/CD.
  • Background in UX/UI collaboration for AI-focused products.

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