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Aws Machine Learning Jobs in Alabama (NOW HIRING)

SOSi

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 ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

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)

SOSi

Software Developer

Redstone Arsenal, AL · On-site

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 ...

SOSi

Software Developer

Redstone Arsenal, AL · On-site

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 ...

Pwc

CTIO AI Engineering Manager

Birmingham, AL

$73K - $244K/yr

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 ...

Autodesk

$102K - $139K/yr

... enable machine learning across research and product development. You will help build the ... Experience with cloud platforms such as AWS, Azure, or GCP * Familiarity with containers, CI/CD ...

Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Cloud data engineering experience (Google Cloud Platform, AWS, Azure or similar) * SQL * Python * AI/ML * Ability to automate and operationalize machine learning workflows. * Applies knowledge to ...

GPC - Genuine Parts Company

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Cloud data engineering experience (Google Cloud Platform, AWS, Azure or similar) * SQL * Python * AI/ML * Ability to automate and operationalize machine learning workflows. * Applies knowledge to ...

PeopleTec, Inc.

Senior Kubernetes Engineer

Huntsville, AL

$105K - $144K/yr

... Machine Learning (ML) related initiatives, both in the federal and commercial space. The Sr. ... Duties: * Design, implement, and manage complex cloud-native solutions across Azure and AWS.

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How much do aws machine learning jobs pay per hour?

As of Jun 11, 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:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $132,083 per year, or $63.5 per hour.

Senior Software Developer

SOSi

Huntsville, AL • On-site

$53.75 - $71/hr

Full-time

Posted 5 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking highly skilled Software Developers 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 an HPC.
In this role, you will play a pivotal role in designing, developing, and maintaining MSIC software applications. You will work closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs. Your expertise in Python, Docker, NoSQL, SQL, and Apache Airflow/Kafka will be crucial in driving our projects forward.
Essential Job Duties
  • Design, develop, test, and maintain software applications using Python.
  • Design, implement, and manage scalable MLOps pipelines and infrastructure.
  • Develop and manage containerized applications using Docker.
  • Work with NoSQL and SQL for database management and optimization.
  • Implement and manage data workflows using Apache Airflow and Kafka.
  • Automate the training, testing, and deployment of machine learning models.
  • Implement and manage APIs and ensure their scalability, reliability, and performance.
  • Implement and manage infrastructure as code and configuration management tools.
  • Collaborate with data scientists to integrate machine learning models into applications.
  • Design and develop microservices architecture for scalability and efficiency.
  • Write clean, scalable, and efficient code.
  • Participate in the entire software development lifecycle, from concept and design to testing and deployment.
  • Troubleshoot, debug, and upgrade existing software.
  • Provides leadership, support and guidance to all AIMS Team Members.
  • Ensures and promotes the development of the AIMS team through coaching, training, and leadership development.
  • Provides informal feedback on an ongoing basis and formal feedback in the annual performance evaluation process to identify and develop talent.

Qualifications
  • Top Secret Security Clearance with SCI eligibility.
  • 7+ years of experience in software development, MLOps, DevOps, or related roles.
  • Proficiency in Python and experience with its frameworks.
  • Extensive knowledge of containerization and orchestration tools (Docker, Kubernetes).
  • Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and automated testing.
  • Experience with version control systems (Git, SVN).
  • Hands-on experience with NoSQL and SQL.
  • Proficient in using Apache Airflow for workflow management.
  • Proficiency with cloud platforms (AWS, Azure, Google Cloud).
  • Solid understanding of software architecture and design patterns.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.
  • Ability to work independently and manage multiple tasks efficiently.
  • Experience with agile development methodologies.

Preferred Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).
  • Experience with feature stores and model registries.
  • Familiarity with big data technologies (Spark, Hadoop)
  • Knowledge of monitoring and logging tools for machine learning models (Prometheus, Grafana, ELK stack).
  • Significant experience with petabyte scale data sets.
  • Significant experience with large-scale, multi-INT analytics.

Additional Information
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).

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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