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Remote Embedded Machine Learning Jobs in Missouri

Healthcare Fraud Shield

Data Scientist

Chesterfield, MO · On-site +1

Utilize advanced mathematical models, machine learning algorithms, operations research techniques ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

General Motors

Senior AI/ML Engineer

Jefferson City, MO · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

UVeye

Implementation Manager

Kansas City, MO · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

Jobgether

$40K - $110K/yr

Experience leading engineering initiatives, machine learning systems, GPU-accelerated processing ... Flexible remote-first work environment with asynchronous collaboration practices. * Hardware ...

Jobgether

$88K - $106K/yr

Familiarity with modern Generative AI frameworks, orchestration tools, and machine learning ... Fully remote work environment offering flexibility and work-life balance. * Personalized career ...

Jobgether

$88K - $106K/yr

You will design and build scalable data pipelines that power analytics, machine learning, and real-world scientific and business decisions. Working in a fully remote, international environment, you ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Proficient in using advanced analytics and machine learning frameworks, including Apache Spark ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Walmart

Senior, Software Engineer

Anderson, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Jobgether

$43 - $57.50/hr

You will join a highly visible technical role at the intersection of machine learning engineering ... Flexible working arrangements, including remote-friendly policies and adaptable working hours.

Walmart

Senior, Software Engineer

Cassville, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Walmart

Senior, Software Engineer

Noel, MO · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Jobgether

$45.25 - $60.50/hr

This is an opportunity to actively shape how security is embedded across engineering teams, while ... Access to learning budgets and remote work support benefits. * Comprehensive health insurance ...

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Missouri

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 Missouri? The most popular types of Embedded Machine Learning jobs in Missouri are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Missouri? For Remote Embedded Machine Learning jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Missouri look for? The top searched job categories for Remote Embedded Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Remote Embedded Machine Learning jobs? Cities in Missouri with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Data Scientist

Data Scientist

Healthcare Fraud Shield

Chesterfield, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Data Scientist
Department: Data Science
Employment Type: Full Time
Location: Headquarters
Description
Healthcare Fraud Shield is looking for a Data Scientist to join the team.
Key Responsibilities
  • Provide technical contributions in a fast-paced R&D team environment to accelerate our efforts on building new analytics.
  • Utilize advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions.
  • Analyze data sets and develop models to predict fraud, waste, and abuse.
  • Document and present results to internal team members for development and inclusion in company products and analysis.
  • Satisfies all applicable requirements imposed by applicable Company customers, clients, or business partners, with respect to the relationship and role.
  • Understands and complies with all company Privacy and Security standards.
  • This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management.

Skills, Knowledge and Expertise
  • Strong in mathematics and statistics
  • Experience coding and modeling using Python
  • Experience with SQL
  • Strong language skills, with the ability to develop and implement natural language prompts for prompt engineering applications
  • Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the subject matter with team members

Benefits
  • Medical, Dental & Vision insurance
  • 401(k) retirement savings with employer match vesting immediately
  • Vacation and sick paid time off
  • 7 paid holidays & 2 floating holidays
  • Paid maternity/paternity leave
  • Disability & Life insurance
  • Flexible Spending Account (FSA)
  • Employee Assistance Program (EAP)
  • Free on-site fitness center
  • Professional and career development initiatives
  • Remote work eligible

REMOTE WORK REQUIREMENTS:
  • Must have high speed Internet (satellite is not allowed for this role) with a minimum speed of 25mbs download and 5mbs upload.

Healthcare Fraud Shield is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law

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