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Remote Embedded Machine Learning Jobs in Illinois

Director of Data Science

Chicago, IL ยท On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

This role requires a strong technical background in AI and machine learning, combined with the ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

This role requires a strong technical background in AI and machine learning, combined with the ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

This role requires a strong technical background in AI and machine learning, combined with the ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

AI Sales Strategist

Warrenville, IL ยท On-site +1

$121K - $157K/yr

... ons, are embedded into core commercial workflows and directly improve costs or revenues. The ... Revenue Optimization: Define strategy to develop and implement AI machine learning models ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

AI Security Architect - Remote

Virginia, IL ยท On-site +1

$63.75 - $82.25/hr

Train, audit, and maintain machine learning models used for threat detection and anomaly ... LI-NM1 #LI-Remote What'smore,you'llget that pride that comes from empowering makers, doers ...

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... remote $110,000-$150,000 The expected salary range above is applicable if the role is performed ...

Manager, Regulatory Submissions (Remote)

Chicago, IL ยท On-site +1

$110K - $150K/yr

Machine learning validation requirements * Lifecycle management of medical devices/IVDs * Changes ... remote $110,000-$150,000 The expected salary range above is applicable if the role is performed ...

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are the most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Remote Embedded Machine Learning jobs? Cities in Illinois with the most Remote Embedded Machine Learning job openings:
Options Trading Quantitative Researcher - Work From Home

Options Trading Quantitative Researcher - Work From Home

Next Step Systems

Chicago, IL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life

Posted 1 hour ago


Job description

Options Trading Quantitative Researcher - Work From Home
We are seeking a talented and self-motivated Quantitative Researcher to join our options trading team. You will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm. Our culture emphasizes teamwork and focuses on continuous integration and test-driven development. The ideal candidate will be responsible for designing, developing, and enhancing Python data science tools and frameworks. This includes conducting alpha research, identifying new trading opportunities, and monitoring models in production. This position is 100% Remote.
Options Trading Quantitative Researcher Qualifications:
- Bachelor's degree in mathematics, physics, computer science, or a related quantitative field.
- 2+ years of relevant work experience.
- Experience conducting and applying quantitative research to options trading.
- Experience integrating alpha signal research into options trading systems.
- In depth understanding of options pricing and volatility modelling.
- Strong knowledge of probability, statistics, and machine learning for time-series data.
- Excellent programming skills in Python (C++ familiarity is a plus).
- Experience with software engineering best practices including TDD and CI/CD.
- Experience with distributed computing.
- Prior experience developing on a Linux stack.
- Effective prioritization while being mindful of long-term objectives.
- Able to take ownership of projects in a fast-paced collaborative environment.
- Strong attention to detail.
- Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
Benefits include medical, dental, vision, health savings account, life insurance policy, short-term/long-term disability insurance, employee assistance program, etc.
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Looking to hire for similar positions in Chicago, IL or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Options Trading Quantitative Researchers for jobs in Chicago, Illinois and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Phone 630-428-0600 ext. 11 or email us at jobs@nextstepsystems.com. Click here to submit your resume for this job and others.
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