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Machine Learning Engineer Quantization Jobs in New Orleans, LA

Varsity Tutors

Machine Learning Tutor

New Orleans, LA · Remote

$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 ...

Deloitte

AI Solutions Architect

New Orleans, LA

$60.50 - $79.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Data Engineer - Manager

New Orleans, LA

$110K - $132K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

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 ...

Deloitte

AI and Data Science Engineer III

New Orleans, LA · On-site +1

$110K - $132K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Pwc

NGA AI Engineer Manager

New Orleans, LA

$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

NGA AI Engineer Senior Manager

New Orleans, LA · On-site

$91K - $321K/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 ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in New Orleans, LA

Machine Learning Engineer Quantization information

See New Orleans, LA salary details

$30.3K

$123.7K

$185.8K

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

As of Jun 12, 2026, the average yearly pay for machine learning engineer quantization in New Orleans, LA is $123,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $148,900.00 per year, depending on experience, location, and employer.

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 New Orleans, LA? For Machine Learning Engineer Quantization jobs in New Orleans, LA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in New Orleans, LA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in New Orleans, LA are:
Machine Learning Engineer Quantization jobs near you
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

New Orleans, LA

Other

Posted 15 days ago

Job description

Job Title

About Us: Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don't just help you secure a Tech Job, but we build your solid career in technology.

Technical Skills
  • Python, Model Training/Testing
Primary Responsibilities
  • Working on the awesome AI product for document information extraction.
  • Build the next-generation information extraction product powered by state-of-the-art AI and Deep Learning techniques.
  • Work with an international top-notch engineering team with full commitment on Machine Learning development.
Skills Required
  • Passionate about search and AI technologies. Open to collaborating with colleagues and external contributors.
  • Good understanding about the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization etc.
  • Skilled in the following programming languages: Python 3.
  • Good English skills especially for writing and reading documentation
Education Requirement
  • Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
Benefits of Working with Our Clients
  • E-Verified.
  • Help to get H1b Employer
  • Long Term Positions
  • On Job Technical Support.

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

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