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Internship Full Stack Machine Learning Engineer Jobs in Illinois

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

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ... Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, 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 ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... a full range of benefits outlined here. This information is provided per the relevant state and ...

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and ...

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 ...

About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of ... Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars ...

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 ...

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 ...

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Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Illinois? The most popular types of Full Stack Machine Learning Engineer jobs in Illinois are:
What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Illinois look for? The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Internship Full Stack Machine Learning Engineer jobs? Cities in Illinois with the most Internship Full Stack Machine Learning Engineer job openings:

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.