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Machine Learning Engineer Quantization Jobs in Louisiana

TRUCE Software

Embedded Firmware Engineer

Baton Rouge, LA · On-site

$80K - $110K/yr

This role is ideal for an embedded engineer who enjoys working close to hardware and defining ... device machine learning while owning firmware quality, validation strategy, and long-term ...

TRUCE Software

Embedded Firmware Engineer

Baton Rouge, LA · On-site

$80K - $110K/yr

This role is ideal for an embedded engineer who enjoys working close to hardware and defining ... device machine learning while owning firmware quality, validation strategy, and long-term ...

Bausch + Lomb

AI Agent ML Engineer

Baton Rouge, LA

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Dexory

Perception Engineer

Verda, LA · On-site

Perception Engineer / LiDAR / Python / C++ / Computer Vision / Location: Wallingford - Oxfordshire ... machine learning - and motivated by the challenge of making perception systems work reliably in ...

Autodesk

$86K - $118K/yr

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the ...

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 ...

Deloitte

Google AI Lead Architect

New Orleans, LA · On-site

$53 - $72.75/hr

Preferred : • Google Professional Machine Learning Engineer certification or the equivalent ML certification. • Master's degree in technology-related discipline. • 2+ years' leading high ...

New

GE Aerospace

Software Engineer AI/ML

New Orleans, LA

$105K - $126K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

Pwc

AI & GenAI Data Scientist - Manager

New Orleans, LA · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Deloitte

Data Scientist

New Orleans, LA · On-site

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Deloitte

Software Product Architect

New Orleans, LA

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube * Experience with continuous integration/continuous deployment and ...

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Machine Learning Engineer Quantization information

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

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

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Louisiana? For Machine Learning Engineer Quantization jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Louisiana look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Louisiana are:
What cities in Louisiana are hiring for Machine Learning Engineer Quantization jobs? Cities in Louisiana with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you

AI Intern

Quality Engineering & Surveying, LLC

Denham Springs, LA • On-site

$15.25 - $20/hr

Internship

Posted 7 days ago

Job description

Quality Engineering & Surveying, LLC (QES) is committed to innovation and leveraging cutting-edge technologies to improve operations, decision-making, and customer experiences. We are seeking a motivated and curious AI Intern to join our team and contribute to real-world artificial intelligence and data-driven projects.
Position Overview
As an AI Intern at QES, you will work alongside experienced professionals to design, develop, and implement AI and machine learning solutions. This role is ideal for someone passionate about emerging technologies, problem-solving, and applying AI in practical business environments.
Key Responsibilities of the AI Intern
  • Assist in developing and implementing machine learning models and AI solutions
  • Conduct data collection, cleaning, and preprocessing for analysis
  • Support automation and optimization projects using AI tools
  • Collaborate with cross-functional teams to identify opportunities for AI integration
  • Perform research on AI trends, tools, and best practices
  • Analyze and present insights and findings to the team
  • Help document processes and maintain technical documentation

Qualifications

  • Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field
  • Basic understanding of machine learning concepts and algorithms
  • Familiarity with programming languages such as Python, R, or Java
  • Experience with libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a team environment

Preferred Skills

  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of SQL and databases
  • Exposure to natural language processing (NLP) or computer vision
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud)

What you'll gain as an intern:

  • Hands-on experience working on real AI projects
  • Mentorship from experienced professionals
  • Exposure to industry tools and technologies
  • Opportunity to build a strong portfolio and professional network
  • Potential for future employment opportunities

Job Posted by ApplicantPro