ZipRecruiter

Log In

1

Embedded Machine Learning Engineer Jobs in New Orleans, LA

Pwc

AI Engineer

New Orleans, LA · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Solutions Engineering Delivery Lead

New Orleans, LA · On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

New Orleans, LA · On-site

$100K - $137K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

New Orleans, LA · On-site

$98K - $129K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

CTIO AI Engineering Manager

New Orleans, LA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Ochsner Health

AI Engineering Lead

New Orleans, LA

$98K - $129K/yr

The Lead AI Engineer leads the design, engineering, delivery, and operation of the machine-learning and conversational AI platform that powers automated patient and customer interactions. Defines AI ...

Ochsner Health

AI Engineering Lead

New Orleans, LA · On-site

$98K - $129K/yr

The Lead AI Engineer leads the design, engineering, delivery, and operation of the machine-learning and conversational AI platform that powers automated patient and customer interactions. Defines AI ...

Koitecc Solutions

AI Engineering Lead

New Orleans, LA · On-site

$200 - $250/hr

The Lead AI Engineer leads the design, engineering, delivery, and operation of the machine-learning and conversational AI platform that powers automated patient and customer interactions. Defines AI ...

New

Deloitte

Forward Deployed Engineer- AWS

New Orleans, LA · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

New Orleans, LA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Manager

New Orleans, LA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO - AI Engineer- Senior Manager

New Orleans, LA · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

previous pagenext page

Showing results 21-40

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in New Orleans, LA

Embedded Machine Learning Engineer information

See New Orleans, LA salary details

$67.2K

$147.3K

$167.1K

How much do embedded machine learning engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for embedded machine learning engineer in New Orleans, LA is $147,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $166,100.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in New Orleans, LA?

For Embedded Machine Learning Engineer jobs in New Orleans, LA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in New Orleans, LA look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in New Orleans, LA are:

What cities near New Orleans, LA are hiring for Embedded Machine Learning Engineer jobs?

Cities near New Orleans, LA with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in New Orleans, LA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $147,304 per year, or $70.8 per hour.

Industrial AI Robotics Engineer

Kenner, LA • On-site

OneSource Professional Search
Recruiting and Staffing Services • 11 - 50 employees
Learn more about OneSource Professional Searchexternal

Full-time

Re-posted 20 days ago

Job description

We're supporting a well-established industrial manufacturing company with a search for an Industrial AI Vision Robotics Engineer to help develop next-generation AI-powered vision systems and robotic automation solutions. This is an opportunity to work on cutting-edge applications that combine artificial intelligence, computer vision, robotics, and industrial automation to improve manufacturing processes through advanced machine learning and edge computing technologies.

What You'll Do

  • Develop AI-powered computer vision systems for object identification, classification, tracking, and robotic automation.
  • Design, train, and optimize machine learning models for real-world industrial applications.
  • Deploy edge AI solutions using NVIDIA hardware platforms, including Jetson devices and CUDA-enabled GPUs.
  • Integrate vision systems with robotic arms, conveyors, sensors, and automated equipment.
  • Support image acquisition, camera calibration, dataset development, testing, validation, and performance optimization.
  • Collaborate with mechanical, electrical, software, and manufacturing teams to bring new automation technologies from concept through implementation.
  • Troubleshoot and improve AI and robotic systems to maximize reliability, accuracy, and throughput.
  • Stay current with emerging technologies in AI, robotics, computer vision, and industrial automation.

Qualifications

  • Bachelor's degree in Robotics Engineering, Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related technical field.
  • 3–5 years of experience in AI, robotics, machine vision, automation, or a related engineering discipline.
  • Experience with machine learning frameworks (such as ROS/ROS2) and programming in Python and/or C++.
  • Hands-on experience with NVIDIA Jetson, CUDA, TensorRT, or similar AI acceleration technologies.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work collaboratively in a fast-paced engineering environment.

Why Join?

  • Opportunity to develop innovative AI and robotic automation technologies with real-world impact.
  • Work alongside multidisciplinary engineering teams on new product development and emerging technologies.
  • Stable, growing manufacturing organization with a strong commitment to engineering innovation.

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.