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Freelance Full Stack Machine Learning Engineer Jobs in Mokena, IL

Full Stack Developer (React, Python & FastAPI) Location: Remote (Preferred: Philippines, Latin ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Job Summary The Full Stack Engineer performs a variety of activities relating to software support ... The TMW Center has launched a wearable device and an accompanying app that uses machine learning to ...

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

Lead Machine Learning Engineer

Chicago, IL

$105K - $139K/yr

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end ... For additional information, please see our full Thoughtworks AI Policy for Recruitment. EEO ...

Senior Machine Learning Engineer

Chicago, IL ยท On-site

$107K - $147K/yr

... full lifecycle of the product including data ingestion, ML processing, and results delivery ... respect to Machine Learning Engineering. Partner with data architecture, data governance, and ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Senior Machine Learning Engineer

Chicago, IL ยท Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

We are looking for a smart and passionate Full stack engineer to join our team. * You will be ... Other AWS services not mentioned above (Hosted DBs, SQS, Machine Learning) * Terraform Additional ...

AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

Senior AI Machine Learning Engineer

Chicago, IL ยท Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Our products are delivered with a full monitoring solution to ensure our products continue to ...

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Showing results 1-20

Freelance Full Stack Machine Learning Engineer information

See Mokena, IL salary details

$43.8K

$132.6K

$187.4K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for freelance full stack machine learning engineer in Mokena, IL is $132,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $155,400.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What cities near Mokena, IL are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities near Mokena, IL with the most Freelance Full Stack Machine Learning Engineer job openings:
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Mokena, IL as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $132,591 per year, or $63.7 per hour.

Full Stack Developer

Performacentric

Chicago, IL โ€ข On-site, Remote

Full-time

Posted 18 days ago


Job description

Full Stack Developer (React, Python & FastAPI)

Location: Remote (Preferred: Philippines, Latin America, or North America)
Employment Type: Full-Time / Contract
Company: Performacentric

About Performacentric

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, and customer performance through custom AI solutions, intelligent automation, and connected business systems. We build AI agents, copilots, integrations, and business applications that eliminate manual processes and enable faster, data-driven decision making.

We are seeking a highly motivated Full Stack Developer to help design, build, and maintain modern web applications and AI-powered solutions for our clients and internal platforms.

Position Overview

The Full Stack Developer will be responsible for building and maintaining applications across the entire technology stack, including frontend user interfaces, backend APIs, database architecture, and cloud deployment.

The ideal candidate is equally comfortable developing modern React applications and building scalable Python/FastAPI backend services. Candidates with experience in machine learning, large language models (LLMs), AI agents, and PostgreSQL will receive strong consideration.

This position offers the opportunity to work on cutting-edge AI initiatives, business automation platforms, and next-generation enterprise applications.

Key Responsibilities
Frontend Development

  • Design and develop responsive web applications using React.
  • Build reusable UI components and front-end libraries.
  • Consume REST and GraphQL APIs.
  • Optimize applications for performance, scalability, and usability.
  • Collaborate with designers and stakeholders to create exceptional user experiences.

Backend Development

  • Develop and maintain APIs using Python and FastAPI.
  • Design scalable microservices and backend architectures.
  • Implement authentication, authorization, and security best practices.
  • Build integrations with third-party platforms and business applications.
  • Create automated workflows and data processing pipelines.

Database Development

  • Design and optimize PostgreSQL databases.
  • Develop efficient queries, indexes, and stored procedures.
  • Support data migration and ETL processes.
  • Ensure data integrity, security, and performance.

AI & Automation Development

  • Assist in the development of AI agents and copilots.
  • Integrate Large Language Models (LLMs) into business applications.
  • Build retrieval-augmented generation (RAG) solutions.
  • Support prompt engineering and AI workflow automation.
  • Develop integrations between AI services and enterprise systems.

DevOps & Quality

  • Participate in CI/CD pipeline development and maintenance.
  • Perform testing, debugging, and code reviews.
  • Monitor application performance and reliability.
  • Contribute to cloud infrastructure and deployment automation.

Required Qualifications

  • 3+ years of professional software development experience.
  • Strong proficiency in React.
  • Strong proficiency in Python.
  • Experience building APIs using FastAPI.
  • Experience with HTML5, CSS3, JavaScript, and TypeScript.
  • Familiarity with Git and GitHub-based development workflows.
  • Understanding of RESTful API design principles.
  • Experience working with relational databases.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal English communication skills.

Preferred Qualifications

Candidates possessing one or more of the following will receive preference:

  • Experience with PostgreSQL.
  • Machine Learning Engineering experience.
  • Experience deploying or fine-tuning open-source LLMs.
  • Experience with Llama models and related tooling.
  • Experience building AI agents and autonomous workflows.
  • Knowledge of vector databases and RAG architectures.
  • Experience with LangChain, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
  • Experience with Docker and containerized deployments.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with CI/CD pipelines and DevOps practices.
  • Familiarity with n8n or workflow automation platforms.

Technical Stack
Required

  • React
  • Python
  • FastAPI
  • Git/GitHub
  • REST APIs
  • HTML/CSS/JavaScript

Preferred

  • PostgreSQL
  • Llama LLM
  • LangChain
  • LlamaIndex
  • Docker
  • AWS
  • Azure
  • Vector Databases
  • Machine Learning Frameworks

Success Metrics

The successful candidate will:

  • Deliver production-ready features on schedule.
  • Develop scalable and maintainable code.
  • Build reliable APIs and integrations.
  • Contribute to AI-powered applications and automation solutions.
  • Maintain high standards for code quality, testing, and documentation.
  • Collaborate effectively across technical and business teams.

What We Offer

  • Opportunity to work on cutting-edge AI and automation projects.
  • Exposure to modern AI agent and LLM technologies.
  • Flexible remote work environment.
  • Opportunity for career growth within a rapidly growing AI-focused company.
  • Direct collaboration with company leadership and clients.
  • Meaningful impact on products that help businesses transform how they operate.

How to Apply

Please submit:

  1. Resume/CV
  2. GitHub profile (required)
  3. Portfolio or examples of recent projects
  4. Brief description of your experience with React, Python, FastAPI, PostgreSQL, and AI/ML technologies
  5. Any experience deploying or working with Llama-based LLMs or AI agents

Performacentric is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.