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Aws Machine Learning Jobs in Alabama (NOW HIRING)

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum ... Knowledge of cloud platforms(AWS, Azure, or GCP) for model deployment and data storage (preferred)

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Automate the training, testing, and deployment of machine learning models. * Implement and manage ... Proficiency with cloud platforms (AWS, Azure, Google Cloud). * Solid understanding of software ...

Preferred : • AWS Certified Machine Learning or related AWS certification. • Experience supporting federal government programs. • Experience with automated testing frameworks and CI/CD ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... like AWS, GCP, Azure - Contributing to open-source projects or AI/ML publication Travel ...

Junior Java/C++ Developer

Birmingham, AL · On-site

$62K - $81K/yr

Spring boot, AWS, microservices, Docker, Jenkins and REST API's experience * Excellent written and verbal communication skills Required skills for data science/machine learning positions: * Bachelors ...

Experience with cloud platforms like Google Cloud Platform (GCP) or AWS including services related to AI and machine learning (e.g., Vertex AI, AutoML, and AI Infrastructure) and data engineering (e ...

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Aws Machine Learning information

See Alabama salary details

$9

$63

$86

How much do aws machine learning jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for aws machine learning in Alabama is $63.50, according to ZipRecruiter salary data. Most workers in this role earn between $56.44 and $74.09 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Alabama? The most popular types of Aws Machine Learning jobs in Alabama are:
What are popular job titles related to Aws Machine Learning jobs in Alabama? For Aws Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Alabama look for? The top searched job categories for Aws Machine Learning jobs in Alabama are:
Infographic showing various Aws Machine Learning job openings in Alabama as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Temporary. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $132,083 per year, or $63.5 per hour.
AI Engineer

AI Engineer

Decisive Intelligence Inc

Huntsville, AL • On-site

Full-time

Posted 23 days ago


Job description

Salary:

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 anAI Engineerwith a strong background in data analytics and product development to join our innovative team inHuntsville, 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 inComputer 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 modelsin a production environment.
  • Experience with product developmentlife 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 NoSQLdatabases, and data processing frameworks like Apache Sparkor 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-solvingabilities and attention to detail.
  • Excellent communicationand interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projectssimultaneously.

Desired Experience/Skills:

  • Masters degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelinesand CI/CD.
  • Background in UX/UI collaborationfor AI-focused products.