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Remote Machine Learning Robotics Jobs in Georgia

American Software

Client Executive - Midwest

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

Logility

Client Executive - Midwest

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

American Software

Client Executive - West

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

Logility

Client Executive - West

Atlanta, GA · On-site +1

$73K - $100K/yr

... and machine learning to help deliver integrated planning and operations across the end-to-end ... Must successfully complete and clear a criminal background check #LI-Remote Equal Opportunity ...

iSenpai

SIEM Engineer-Atlanta, GA

Atlanta, GA · Remote

Remote access to a virtual lab for testing/learning opportunities * Flexible / Alternative Work ... Develop guidance on data analysis and reporting, including the use of machine learning models and ...

Tribe Wellness

$55K - $100K/yr

... machines. We bridge the gap between brands and revenue by turning our clients' customers into ... learning platform, Rippling, Salesforce, Vonage, Google Workspace, and Slack, ensuring you're ...

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Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Georgia? For Remote Machine Learning Robotics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Georgia look for? The top searched job categories for Remote Machine Learning Robotics jobs in Georgia are:
What cities in Georgia are hiring for Remote Machine Learning Robotics jobs? Cities in Georgia with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Client Executive - Midwest

Client Executive - Midwest

American Software

Atlanta, GA • Remote

$73K - $100K/yr

Full-time

Re-posted 28 days ago

Job description

ABOUT THE COMPANY

Logility’s Digital Supply Chain Platform delivers optimized demand, inventory, manufacturing, and supply plans – helping to provide executives the confidence and control to increase margins and service levels, while delivering sustainable supply chains. Designed for speed and agility, Logility’s cloud-based platform leverages Generative AI, advanced AI-driven algorithms, and machine learning to help deliver integrated planning and operations across the end-to-end supply chain. Our prescriptive approach drives team alignment for over 650 clients in 80 countries with prioritized outcomes designed to create demonstrable value. Logility is a publicly traded company (NASDAQ: LGTY). Learn more at https://www.logility.com/

JOB RESPONSIBILITIES: 

Our Account Executive at Logility will be responsible for developing a territory plan to effectively target prospect accounts and work with current customers to assure they are getting maximum value out of the solution by understanding their strategic growth plans, technology strategy and their industry market dynamics. They will need to engage resources from our business development and business consultants, employ a consultative selling approach to achieve quantifiable results, and advance and close sales opportunities through the successful execution of the sales campaigns. The Account Executive will need to be able to manage face to face meetings during all phases of the sales cycle while understanding and presenting the Logility Value proposition to current and future clients. They will also need to understand the Logility Solution, Logility Value, Logility Cloud and Logility University advantages over the competition while leveraging Logility Marketing and Business Consulting to target accounts in your assigned territory.

JOB REQUIREMENTS:

  • High energy
  • Results driven
  • Strong verbal communication, written and presentation skills
  • Independent and self-motivated
  • Manages time effectively and adapts quickly to changing priorities
  • Strong organization skills that include prioritizing tasks, creating and keeping deadlines, and attention to detail
  • Well defined sales process
  • 8+ years’ experience in software solution sales, preferably in Supply Chain Management
  • Track record of exceeding target over multiple full quota years
  • Stable work history
  • Consistent history of proven quota attainment, strong closing skills, territory management, negotiation, and product knowledge
  • Strong business relationships
  • Ability to travel
  • Bachelor’s degree; equivalent experience also considered
  • Must successfully complete and clear a criminal background check

#LI-Remote

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