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Embedded Machine Learning Engineer Jobs in New Orleans, LA

Varsity Tutors

Data Science Tutor

New Orleans, LA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Entergy

Automation Engineer I-Sr

New Orleans, LA · Hybrid

... machine learning Problem Solving • Strong analytical and problem‑solving skills • Ability to select appropriate statistical or machine‑learning tools for business problems Impact • ...

Eisneramper Llp

AI Consulting Manager

New Orleans, LA · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

Varsity Tutors

Python Tutor

New Orleans, LA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Laitram

Controls Engineer

New Orleans, LA · On-site

$80K - $103K/yr

Laitram Machinery is seeking a Controls Engineer to design, develop, implement, and support ... learning mindset • Strong organizational skills with the ability to manage multiple priorities ...

Laitram

Machinist Apprentice (Part-time)

New Orleans, LA · On-site

$17 - $21.75/hr

Laitram Machine Shop, L.L.C., a division of Laitram, L.L.C., and a supplier of quality, high ... This role is designed as a hands-on learning opportunity, offering exposure to precision machining ...

Pwc

ERP AI Engineer - Manager

New Orleans, LA

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Ochsner Health

Senior AI Scientists

New Orleans, LA · On-site

... engineering, vector search, and model or AI application deployment. * Experience deploying and supporting AI or machine learning models within Epic Nebula ensuring integration with clinical workflows ...

Ochsner Health

Senior AI Scientists

New Orleans, LA

... engineering, vector search, and model or AI application deployment. * Experience deploying and supporting AI or machine learning models within Epic Nebula ensuring integration with clinical workflows ...

Deloitte

Oracle Gen AI Manager

New Orleans, LA

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization * Collaborate with stakeholders, mentor delivery teams ...

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Showing results 41-60

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 Aug 16, 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:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in New Orleans, LA as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% 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.

Data Science Tutor

Varsity Tutors

New Orleans, LA • Remote

$18 - $40/hr

Part-time

Re-posted 13 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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