ZipRecruiter

Log In

1

Embedded Machine Learning Engineer Jobs in Louisiana

Spotify

$184K - $262K/yr

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical ...

Zoolatech

Senior MLOps Engineer Central Europe

Central, LA · On-site

$120 - $150/hr

Are you passionate about improving the way Machine Learning systems are developed, deployed, and ... You'll work at the intersection of engineering and data science, playing a key part in shaping how ...

Varsity Tutors

Machine Learning Tutor

New Orleans, LA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

COOLSOFT

AI/ML Support Engineer

Baton Rouge, LA · On-site

Support machine learning model development, deployment, and performance optimization . * Analyze ... Collaborate with engineering, data science, cloud, and support teams to resolve production issues.

Collabera

Support Engineer

Baton Rouge, LA · On-site

Client - IBM Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then need to relocate to Baton Rouge, LA Summary This profile outlines the desired skills and ...

Collabera LLC

Support Engineer

Baton Rouge, LA · On-site

$30 - $35/hr

Job Title - Artificial Intelligence / Machine Learning Support Engineer Remote - 06 weeks, then need to relocate to Baton Rouge, LA Pay Range - $30-$35/hr. Summary * This profile outlines the desired ...

next page

Showing results 1-20

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Louisiana

Embedded Machine Learning Engineer information

See Louisiana salary details

$59.9K

$131.2K

$148.8K

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

As of Aug 26, 2026, the average yearly pay for embedded machine learning engineer in Louisiana is $131,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $147,900.00 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 Louisiana?

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

What job categories do people searching Embedded Machine Learning Engineer jobs in Louisiana look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Louisiana are:

What cities in Louisiana are hiring for Embedded Machine Learning Engineer jobs?

Cities in Louisiana 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 Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,162 per year, or $63.1 per hour.

Senior Machine Learning Engineer

Bollinger Shipyards

Raceland, LA

$99K - $136K/yr

Full-time

Re-posted 10 days ago

Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Title: Senior Machine Learning Engineer

Location: Mulitple Locations

Position Overview:

The Senior ML Engineer is responsible for operationalizing machine learning and AI solutions into scalable, reliable, and production-ready enterprise systems. This role bridges data science, software engineering, and infrastructure disciplines to deploy, monitor, optimize, and support AI solutions that drive operational and business outcomes.

Key Responsibilities: 

•             Deploy, integrate, and maintain machine learning and AI solutions within enterprise workflows and operational systems

•             Design and develop scalable ML pipelines, feature stores, APIs, and model-serving infrastructure

•             Collaborate with Data Scientists to productionize models and improve deployment readiness

•             Monitor model performance, drift, availability, and reliability across production environments

•             Implement processes for model retraining, versioning, governance, and lifecycle management

•             Partner with Data Engineering teams to support feature engineering and data pipeline integration

•             Ensure ML solutions are secure, scalable, maintainable, and aligned with enterprise architecture standards

•             Support AI applications across forecasting, operational optimization, bidding, scheduling, maintenance, and automation use cases

•             Troubleshoot and resolve issues related to model deployment and operational performance

•             Contribute to ML engineering standards, best practices, and platform improvements

•             Document architecture, deployment processes, and operational support procedures

 

Qualifications: 

·       Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field

·       6–10 years in ML or software engineering

·       Strong Python and ML deployment experience

·       Experience with cloud ML systems

 

Skills: 

•             Experience with Azure ML, Databricks, ML Ops, or similar cloud AI platforms

•             Experience in manufacturing, industrial, operational, or engineering environments

•             Familiarity with large language models, Generative AI, and intelligent automation

•             Experience supporting enterprise AI applications integrated with ERP or operational systems

•             Knowledge of monitoring, observability, and model governance practices

•             Experience with Docker, Kubernetes, and infrastructure-as-code practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity. 

What Bollinger Shipyards employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom