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Aws Machine Learning Jobs in Mississippi (NOW HIRING)

Ryder System, Inc.

Senior Director AI Security

Jackson, MS · On-site

$150 - $200/hr

... machine learning platforms, autonomous systems, and emerging AI capabilities. This role partners ... Services (AWS), Google Cloud Platform (GCP) and/or Microsoft Azure cloud computing security ...

Fairbanks Scales

Area Manager

Meridian, MS · On-site

... AWS D1.1, machining tolerances, load cell calibration accuracy), and lead or sponsor root-cause ... the-job learning alone. Knowledge, Skills, and Abilities - May be representative, but not all ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Mississippi

Aws Machine Learning information

See Mississippi salary details

$9

$66

$90

How much do aws machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for aws machine learning in Mississippi is $66.35, according to ZipRecruiter salary data. Most workers in this role earn between $58.94 and $77.40 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

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 does an AWS Machine Learning do?

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 key skills and qualifications needed for an AWS Machine Learning?

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.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are popular job titles related to Aws Machine Learning jobs in Mississippi?

For Aws Machine Learning jobs in Mississippi, the most frequently searched job titles are:

What job categories do people searching Aws Machine Learning jobs in Mississippi look for?

The top searched job categories for Aws Machine Learning jobs in Mississippi are:

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Mississippi as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,011 per year, or $66.4 per hour.

Data Scientist/Developer

Accord Technologies Inc.

Jackson, MS • On-site

Contractor

Re-posted 14 days ago

Job description

Data scientist/developer
Jackson, MS (Remote)
5 months Contract
 
 
Job Requirement:

Data scientist/software developer to support a proof of- concept demonstration using natural language processing and other machine learning methods to improve the intake process.
This work is critical to demonstrating the potential of the latest technology to improve the lives of children at risk.

The Data Scientist/Developer will be responsible for supporting the development, implementation, and testing of

statistical models, integration of NLP, and refinement and testing of the prototype. The data scientist will work closely

with State stakeholders and technical team members to ensure the quality of the results and that the derived methods

are transparent, statistically sound, relevant, and documented.

Key Responsibilities

• Current Processes & Technology

o Collectively engage with MDCPS and other team members to understand the current intake process and

outcomes.

o Identify how the State decides to deploy resources based on the intake information.

o Contribute to the identification of shortcomings in the intake process and opportunities to improve outcomes.

Use information from interviews, discovery sessions, and workshops to identify.

o Identify any internal data sources used in the intake process.

• Devise New Intake Approach Using New Technologies

o Based on an understanding of the current intake process and its shortcomings, devise and propose an

improved process using natural language processing and other machine learning methods to favorably impact child

outcomes while reducing resources.

o Quantify to the extent possible, the impact of the improved process and use of new technology.

• Map Anticipated Data Source Changes

o Determine how internal data sources might change with future modifications to core IT systems used by

MDCPS.

o Adjust the proposed intake process to account for any data source changes

• Design Review(s)

o Conduct a preliminary and a final design review of an improved intake tool proof-of-concept implementation.

o Include anticipated outcomes from the use of the technology and any differences that may be evident from the

proof-of-concept implementation.

o If an LLM is intended to be used, show how the data will be protected.

o Identify the source of the data that will be used in the proof-of-concept implementation. If data from the State is

unavailable, describe an alternative approach.

• Implementation of Proof-of-Concept

o Create a means of hosting data, whether the data is provided by the State, simulated, or other means.

o Construct a demonstrable prototype application that will illustrate the new technology’s impact on children and

State resources.

o Build the prototype application using Python, C++, JAVA, and/or SQL, or similar language. Use Postgres or a

similar database if needed.

o Integrate the proof-of-concept with the available data source.

o Conduct tests to validate the functionality of the application.

o Validate to the extent possible, the impact on children and State resources from using the prototype in a fully

implemented form.

o Seek validation of the application’s efficacy from key State stakeholders through one-on-one demonstrations.

• Conference Room Demonstration

o During 3-4 days, provide a conference room demonstration that shows how the prototype application can

improve child outcomes and reduce State resources.

o Provide stakeholders a hands-on-experience with the application.

• Agile Development Process

o Participate in the Agile development process to ensure the success of the project.

Requirement Details:

• Bachelor’s or Master’s degree in computer science, engineering, physics, or related field.

• Have participated in US Federal Gov’t data science programs requiring TS/SCI clearance, delivering solutions

requiring the combination of geospatial disciplines, and pattern of life analysis.

• Proven expertise custom developing AI programs “from the ground up”, including but not limited to, text

processing, and optimized selection and application of multiple LLMs.

• Minimum two (2) years of experience designing and implementing machine-learning solutions based on first

principles, including developing custom statistical methods without reliance on pre-built libraries.

• Minimum academic math background to include full calculus series, linear algebra, and statistics. Discrete

math, advanced statistics, and differential equations are a plus.

• Knowledge and competence in databases such as Postgres, MySQL, SQL Server, as well as Python, C++,

JAVA, React, NextJS, NodeJS, and AWS.

• Experience deploying analytic models in pilot or AWS production environments.

• Good communication skills with both technical and non-technical people.

• Strong understanding of model validation and performance measurement.

• Experience deploying advanced analytic solutions in public-sector or regulated environments.