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Machine Learning Engineer Quantization Jobs in Louisiana

Indeed

Machine Learning Engineer

Baton Rouge, LA

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Indeed

Machine Learning Engineer III

Baton Rouge, LA

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Autodesk

$86K - $119K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent ...

Accenture

$106K - $127K/yr

Perform exploratory data analysis (EDA) , feature engineering, and data preprocessing on structured and unstructured datasets. * Develop, train, evaluate, and optimize machine learning and deep ...

Indeed

Senior Machine Learning Engineer

Baton Rouge, LA

$82K - $112K/yr

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

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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
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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