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Independent Contractor Aws Machine Learning Jobs in Alton, IL

LRS

AI/ML Developer

Saint Louis, MO · On-site

$50 - $90/hr

Responsibilities Design, develop, and support AI, machine learning, and data-driven solutions ... Experience with AWS and/or Microsoft Azure cloud platforms. Experience using Databricks for data ...

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

... Machine Learning Engineering, or DevOps, with 3+ years specifically leading Databricks MLOps/Data platform implementations. * Core Technical Stack: Advanced proficiency in Azure Databricks / AWS ...

New

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

... Machine Learning Engineering, or DevOps, with 3+ years specifically leading Databricks MLOps/Data platform implementations. * Core Technical Stack: Advanced proficiency in Azure Databricks / AWS ...

New

Tiger Analytics Inc.

MLOps Lead Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

... Machine Learning Engineering, or DevOps, with 3+ years specifically leading Databricks MLOps/Data platform implementations. * Core Technical Stack: Advanced proficiency in Azure Databricks / AWS ...

New

Arka Infotech Inc

Sr. Scala Developer

Saint Louis, MO

$53 - $70/hr

... X and AWS models -- experience coding in Clojure, Java, and/or Python also a plus. Client is ... such as Machine Learning and Bayesian Methods. Must be familiar w/NoSQL on the back-end. ...

Pwc

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

CTIO AI Engineering Manager

Saint Louis, MO · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... conduct, and independence requirements. The Opportunity As part of the Data and Analytics ...

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All JobsIndependent Contractor Aws Machine Learning JobsIndependent Contractor Aws Machine Learning Jobs in Alton, IL

Independent Contractor Aws Machine Learning information

See Alton, IL salary details

$379

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How much do independent contractor aws machine learning jobs pay per week?

As of Aug 28, 2026, the average weekly pay for independent contractor aws machine learning in Alton, IL is $1,047.52, according to ZipRecruiter salary data. Most workers in this role earn between $694.23 and $1,165.38 per week, depending on experience, location, and employer.

What does an independent contractor AWS machine learning do?

An Independent Contractor specializing in AWS Machine Learning works on a freelance or contract basis to design, develop, and deploy machine learning solutions using Amazon Web Services. They may help clients with data preparation, model training, and integration of machine learning models into existing systems using AWS tools like SageMaker, Lambda, and S3. Their responsibilities often include consulting on best practices, optimizing workflows, and ensuring scalable, secure machine learning infrastructures in the cloud.

What skills and qualifications are needed to thrive as an independent contractor AWS machine learning?

To thrive as an Independent Contractor AWS Machine Learning Specialist, you need expertise in machine learning algorithms, data analysis, and proficiency with Python, as well as a strong understanding of AWS services like SageMaker and Lambda. Familiarity with cloud-based ML tools, experience with data pipelines, and AWS certifications such as AWS Certified Machine Learning – Specialty are highly valued. Exceptional problem-solving, communication, and project management skills help you collaborate with clients and deliver solutions efficiently. These skills ensure you can design, implement, and optimize machine learning models in scalable cloud environments, meeting diverse client needs.

What are common challenges faced by independent contractors working on AWS machine learning projects, and how can they be managed?

Independent contractors in AWS Machine Learning often face challenges such as staying updated with rapidly evolving AWS services, managing project scope with limited resources, and ensuring data security and compliance. To address these, it's important to regularly participate in AWS training, maintain clear communication with clients about project expectations, and follow best practices for security and data handling. Proactively setting up efficient workflows and leveraging AWS documentation and community forums can also help manage technical and logistical hurdles.

What is the difference between Independent Contractor Aws Machine Learning vs Data Scientist?

AspectIndependent Contractor Aws Machine LearningData Scientist
CredentialsCertifications in AWS, Machine Learning, and cloud computingDegree in Data Science, Statistics, or related field; often certifications like SAS or Python
Work EnvironmentFreelance, project-based, remote or on-site in cloud environmentsFull-time, corporate or research settings, often in office or remote
Employer & IndustryClients across various industries using AWS cloud servicesOrganizations in tech, finance, healthcare, and research sectors

While both roles involve data analysis and machine learning, an Independent Contractor Aws Machine Learning specializes in deploying models on AWS cloud platforms as a freelancer, whereas a Data Scientist typically works within organizations analyzing data and building models in a more permanent role.

What cities near Alton, IL are hiring for Independent Contractor Aws Machine Learning jobs?

Cities near Alton, IL with the most Independent Contractor Aws Machine Learning job openings:

Independent Contractor Aws Machine Learning jobs near you

Machine Learning Engineer 727

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.
This is a hands-on engineering position focused on moving models from research into reliable production systems.
Responsibilities:
  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned

Key Technologies
  • A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications
  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking

Desired Qualifications
  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

What's in It for You?
Flexible work environment
A team mentality - work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Enjoy extremely competitive compensation and benefits
A work-life balance you can count on
Opportunities to grow and advance your career on our dime
The Benefits You Get with Freedom
Amazing benefits including matching 401k, fully paid medical, and more
Generous paid time off - including paid site closure days
Competitive salary offerings
Paid training and tuition reimbursement
Referral bonuses
Fully paid life and disability
Annual logo wear allowance
Company sponsored events (game nights, holiday party, summer party, happy hours)
Interested in learning more about Freedom and our culture? Contact us today! We're constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team.
As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status
Applicant Federal & E-Verify Postings
VEVRAA Federal Contractor
Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at
Phone: 410-290-9035
Email: recruiting@goftsg.com
Equal Opportunity Employer, including disabled and veterans.
If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese
If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese
If you want to view the Pay Transparency Policy Statement, please click the link: English

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