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Remote Embedded Machine Learning Jobs in Louisiana

$95K - $130K/yr

Remote Eligible Team: Cyber Defense - IAM Autodesk's Cyber Defense team is looking fora Sr ... Embed AI and machine learning capabilities into IAM platforms and security tooling to enable ...

Lead AI Engineer - AWS Platform

Iowa, LA · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

... PDFs, embedded images) for search or RAG use. * Proven ability to build AIpowered analytics ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

... learning, and fostering professional development. * Conduct regular audits to ensure compliance ... A desire to build relationships and deliver results. #LI-KE4 #LI-REMOTE Compensation and benefits ...

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

Survey Technical Field Engineer

Oceaneering International, Inc.

Morgan City, LA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Oceaneering rating

7.3

Company rating: 7.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

251st of 419 rated machine equipment manufacturers


Job description

The Survey Technical Field Engineer provides critical onshore technical and operational support to the worldwide Survey Services fleet. This role is essential in ensuring the successful execution of survey operations, offering troubleshooting expertise, equipment calibration, and technical support for various survey projects. Working closely with both field teams and project managers, the Survey Technical Field Engineer helps maintain the operational integrity of survey systems and equipment while ensuring alignment with project specifications, timelines, and safety standards. With a strong focus on remote support, this position helps optimize field operations, driving efficiency and technical excellence across diverse global locations.

This is a U.S.-based position with work locations in Broussard and Morgan City, LA. Work schedules will be determined by the manager based on business needs. The role requires the ability to work occasional overtime and/or weekends, as well as the willingness to travel domestically and internationally as needed for project requirements.

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.
Equal Opportunity Employer: 
All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factor.
As one of the largest providers of Remotely Operated Vehicles (ROVs), Oceaneering offers cost-effective, innovative solutions to solve our customers' most complex challenges. With 99% uptime, our vehicles offer tough, reliable service for the full asset life cycle anywhere in the world - from development through to decommissioning. With a focus on secure remote operations, we can assure any operation, including rig moves, subsea monitoring, inspection, and more. With our next generation of subsea vehicles, such as the Liberty E-ROV and Freedom AUV, we push the boundaries of autonomy and remote work capabilities, using machine learning for better decision making and asset maintenance. 

REQUIRED

  • High school diploma or General Education Degree (GED).

  • Minimum of five (5) years' experience and / or training in marine survey or hydrography; or equivalent combination of education and experience

  • Ability to work independently and manage multiple tasks in a high-pressure environment

  • Excellent problem-solving skills and attention to detail.

  • Strong communication skills, with the ability to collaborate with both technical and non-technical team members.

  • Proficient in Microsoft Office Suite; experience with survey software and data analysis tools a plus.

  • Ability to work occasional overtime and/or weekends

  • Ability and willingness to travel as needed for project requirements.

 DESIRED

  • Associate degree or equivalent from a two-year college or technical school preferred.

  • Current security clearance or ability to obtain security clearance.

  • Experience in offshore operations.

  • Knowledge of environmental and regulatory standards for surveying in the offshore industry.

  • Familiarity with data management and quality assurance procedures.

Working Conditions

  • Primarily outdoors during the day and occasionally at night.
  • Frequently working on or near moving equipment and vibrating equipment. 
  • Humidity is frequently above 90%.
  • Noise is over 85 decibels.
  • Light is intense/glare. 
  • Occasional exposuire to open fire/flames/sparks. 
  • Frequent exposure to airborne dust, fumes, and gases.
  • Work surface is stable.
  • Constant exposure to dust.

Benefits Statement

We offer a comprehensive and competitive benefits package. Employee benefits vary by role, however, may include Health and Wellness, Mental Health, Retirement Savings, Life and Disability, Paid Maternity and Parental Leave, Paid Time Off, Tuition Reimbursement, and an Employee Assistance Program.

Provide support to all Oceaneering divisions and subsidiaries to include

  • Survey Services (CNAV, S&P and GEO)

  • Remotely Operated Vehicles (ROV)

  • Advanced Technologies (AdTech)

  • Sales & Commercial

  • Products and Services

  • Installations

  • Training & Competency

  • Supply Chain Management (SCM)

Perform the following functions via phone, email, office or onshore site visits within the 24/7 support framework

  • Provide dedicated technical support for critical and high-profile jobs.

  • Assist fleet with installation and interface of survey equipment.

  • Assist fleet and shop personnel with complex troubleshooting, repairs and upgrades of survey equipment.

  • Assist in building and maintaining good client relations.

  • Assist in training field personnel.

  • Assist in Manufacturing Factory Acceptance Testing (FAT) and System Integration Testing (SIT).

  • Assist in internal and external technical queries regarding equipment or services.

  • Provide feedback and assist in development of in-house training.

  • Provide feedback and assist in development of new technologies and processes to improve fleet efficiency.

  • Trend Non-Productive time and assist in developing equipment and process improvement plans to increase fleet reliability.

  • Perform feasibility and integrations testing for new equipment and technologies.

  • Create technical procedures and flow charts to assist the fleet in performing complex tasks

  • Maintain library of technical and supporting documentation

  • Perform additional tasks and responsibilities as required to support organizational objectives.


What Oceaneering employees say

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