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Remote Embedded Machine Learning Jobs in Indiana

Kem Krest

Supply Chain Director

Elkhart, IN · On-site +1

$174K - $197K/yr

Evaluate and deploy ROI-driven technology-RPA, machine learning, real-time dashboards-and translate ... This position is considered hybrid/remote and offers no relocation assistance. Ready to build what ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Topo Advisors

Assistant Controller

Indianapolis, IN · On-site +1

Topo provides fractional embedded accounting and finance support to venture-backed companies. Topo ... be learning machines that will result in strategic insight to the companies we support. Topo ...

Lucidworks

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

SAIC

Data Analyst

Bedford, IN · Remote

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Apply advanced statistical methods, predictive modeling, and machine learning techniques as ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

Topo Advisors

Controller

Indianapolis, IN · On-site +1

Topo provides scalable, embedded accounting and finance support to high-growth venture-backed ... be learning machines that will result in strategic insight to the companies we support. Topo ...

Topo Advisors

Senior Financial Analyst

Indianapolis, IN · On-site +1

$81K - $101K/yr

Topo provides scalable, embedded accounting and finance support to high-growth venture-backed ... be learning machines that will result in strategic insight to the companies we support. Topo ...

FANUC America Corporation

Engineer

Brook, IN · On-site +1

$83K - $135K/yr

This is a fully remote position ideally based within the corridor between Mason, Ohio and Boston ... Experience with other machine vision systems. * Experience with AutoCAD, 2D, SolidWorks, and 3D ...

ABB

Senior Field Service Technician

Indianapolis, IN · Remote

$83K - $133K/yr

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Indiana

Remote Embedded Machine Learning information

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 are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Indiana?

The most popular types of Embedded Machine Learning jobs in Indiana are:

What are popular job titles related to Remote Embedded Machine Learning jobs in Indiana?

For Remote Embedded Machine Learning jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in Indiana look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Remote Embedded Machine Learning jobs?

Cities in Indiana with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Indianapolis, IN • Remote

$70 - $90/hr

Part-time

Posted 20 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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