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Remote Embedded Machine Learning Jobs in Texas (NOW HIRING)

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

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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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Texas? The most popular types of Embedded Machine Learning jobs in Texas are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Texas? For Remote Embedded Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Texas look for? The top searched job categories for Remote Embedded Machine Learning jobs in Texas are:
What cities in Texas are hiring for Remote Embedded Machine Learning jobs? Cities in Texas with the most Remote Embedded Machine Learning job openings:
Machine Learning Engineer - REMOTE

Machine Learning Engineer - REMOTE

PTP

Austin, TX • On-site, Remote

Full-time

Posted 12 days ago


Job description

Job Description
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineerto help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
  • Use machine learning techniques to create scalable solutions for business problems
  • Analyze and extract key insights from rich stores of customer data
  • Research and implement ML algorithms for a variety of business problems
  • Automate processes for analyses, model development, validation, and implementation
  • General application data and performance analysis

Requirements
  • 2+ years experience with:
    • Natural language processing (NLP)
    • Free-text analytics
    • Machine learning (ML) algorithms
    • Predictive modeling and analysis
    • Data visualization software (Tableau preferred)
  • Familiarity with AWS SageMaker
  • Strong programming skills in Python
  • Experience with SQL and NoSQL databases
  • Strong problem-solving ability
  • Excellent written and verbal communication and skills
  • Degree in Computer Science or related field

PTP logo

About PTP

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2004