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Senior Machine Learning Engineer Jobs in Jackson, MS

Dishwasher

Ridgeland, MS · On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS · On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Dishwasher

Ridgeland, MS · On-site

$10.75 - $14/hr

About Arvum Senior Living Arvum Senior Living proudly manages Assisted Living and Memory Care ... We continually aspire and invest in learning and development opportunities that support our team ...

Jackson, MS Description Waggoner Engineering, Inc. is seeking a Director of Water Resources to play ... Offer senior-level technical guidance on hydrologic and hydraulic modeling, watershed studies ...

Waggoner Engineering, Inc. is seeking a Director of Water Resources to play a key leadership role ... Offer senior-level technical guidance on hydrologic and hydraulic modeling, watershed studies ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Jackson, MS salary details

$51.9K

$110.3K

$159.9K

How much do senior machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior machine learning engineer in Jackson, MS is $110,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Jackson, MS? For Senior Machine Learning Engineer jobs in Jackson, MS, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Jackson, MS look for? The top searched job categories for Senior Machine Learning Engineer jobs in Jackson, MS are:
What cities near Jackson, MS are hiring for Senior Machine Learning Engineer jobs? Cities near Jackson, MS with the most Senior Machine Learning Engineer job openings:
Senior AWS Subject Matter Expert

Senior AWS Subject Matter Expert

Accord Technologies Inc.

Jackson, MS • On-site

$56.50 - $74/hr

Contractor

Posted 11 days ago


Job description

Title: Senior AWS Subject Matter Expert
Location: Jackson, MS
Duration: 12 months
Position type: contract

 

Overview:
We have implemented an AWS Organization with Control Tower, and is working to build cloud expertise internally to support this environment and future agency AWS projects.
We are  seeking a highly skilled and well rounded AWS expert to assist in maintaining this environment, working with agencies on troubleshooting, and helping to mentor staff. This position will be crucial to the long term success of this project for ITS as we work to build our Cloud Center of Excellence. "
Job functions:

AWS Environment Management - Oversee and maintain the existing AWS Organization while ensuring adherence to industry best practices.

Cloud Architecture - For both ITS and agencies, design, review, and implement AWS solutions that meet performance, security, and scalability requirements.

Troubleshooting and Support - Serve as a senior point of contact for complex AWS-related issues including network connectivity. This will require coordination with internal teams and agencies to determine root cause and remediation strategies.

Vendor Relationships - Work with AWS and other third-party vendors to integrate various products into the overall AWS ecosystem.

Mentorship and Training - Provide knowledge transfer, training, and coaching staff members to build internal cloud expertise. Help with creation and maintenance of technical documentation, standards, and playbooks.

Governance and Security - Work with ITS and agency security teams to ensure industry best practices and various compliance requirements are met

 Deep knowledge of key AWS services (EC2, S3, RDS, VPC, IAM, Lambda, CloudFormation, etc.)

 Experience leading cloud migrations or implementations in a complex multi-account environment

 Strong network troubleshooting abilities to help resolve connectivity issues both inside the AWS cloud

environment and ingressing/egressing to the State's on premises environment.

 Familiarity with AWS Landing Zone implementations and management using AWS Landing Zone Accelerator

 Proficiency with infrastructure as code (CloudFormation, Terraform, AWS CDK) and CI/CD pipelines.

 Experience implementing security best practices (e.g., IAM policies, encryption, network segmentation, and SCPs).

 Familiarity with DevOps principles, containerization (Docker, ECS, EKS), and serverless architectures.

 Strong troubleshooting abilities across networking, storage, and compute layers in AWS.

 Excellent written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

 Proven experience mentoring staff and fostering a collaborative, learning-focused environment.

 Effective problem-solving skills and the ability to remain calm and focused under pressure.

 Strong organizational skills, capable of managing multiple projects and priorities simultaneously.

 Ability to lead architectural reviews and navigate ambiguity in designing solutions to complex business problems

 AWS Professional-level certification (e.g., AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional).

 Experience in a government or highly regulated environment (e.g., HIPAA, CJIS, IRS 1075 compliance).

 Knowledge of ITIL, project management methodologies (e.g., PMP, Agile), and enterprise IT governance frameworks.

 Familiarity with other public cloud providers and hybrid-cloud environments.

 Working knowledge of common scripting/programming languages (Python, Bash, PowerShell).