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Remote Aws Machine Learning Jobs in Wheeling, IL

Performacentric

Full Stack Developer

Chicago, IL · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... AWS * Azure * Vector Databases * Machine Learning Frameworks Success Metrics The successful ...

Tempus

Bioinformatics Scientist

Chicago, IL · On-site +1

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Expertise with cloud computing environments (AWS or GCP), container solutions (Docker), and common ...

New

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience ...

Adidev Technologies

AI/ML

Des Plaines, IL · Remote

Experience architecting and developing AI or machine learning solutions on platforms such as AWS ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

Adidev Technologies Inc

AI/ML

Chicago, IL · Remote

... machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Staples, Inc.

AI Engineer III

Lincolnshire, IL · On-site +1

Experience with cloud-based AI services, including AWS, Azure, or Google Cloud Platform. * Published research or conference presentations in Artificial Intelligence or Machine Learning. We Offer:

D.W. Simpson

Consulting Actuary - Remote

Chicago, IL · On-site +1

$185K/yr

... machine learning. The ideal candidate would have at least 5 years of actuarial experience ... Remote Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing Arturo joined DW ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ... Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience ...

Enova International

Be Seen First

Call Center Sales Representative (Remote)

Chicago, IL · Remote

$17/hr

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and ...

New

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Wheeling, IL

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

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

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What cities near Wheeling, IL are hiring for Remote Aws Machine Learning jobs? Cities near Wheeling, IL with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you

Full Stack Developer

Performacentric

Chicago, IL • On-site, Remote

Full-time

Re-posted yesterday

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.

Apply