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Machine Learning Engineer Quantization Jobs in Plano, TX

Cisco

Principal Machine Learning Engineer

Dallas, TX

$291K - $369K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Performacentric

ML Engineer

Dallas, TX · On-site +1

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones) Employment Type: Full-Time Company: Performacentric About Performacentric Performacentric helps small and ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Plano, TX

Machine Learning Engineer Quantization information

See Plano, TX salary details

$30.1K

$123.2K

$185.2K

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

As of Jun 29, 2026, the average yearly pay for machine learning engineer quantization in Plano, TX is $123,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $148,300.00 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 Plano, TX? For Machine Learning Engineer Quantization jobs in Plano, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Plano, TX look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Plano, TX are:
What cities near Plano, TX are hiring for Machine Learning Engineer Quantization jobs? Cities near Plano, TX with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Big Data/ Machine Learning Engineer

Big Data/ Machine Learning Engineer

Avani Technology Solutions, Inc.

Plano, TX • On-site

$52 - $69/hr

Full-time

Posted 8 days ago

Job description

Big Data/ Machine Learning Engineer
Plano, TX
2 Months
No C2C, any visa is okay.
Basic Qualifications
Bachelor's Degree
  • At least 8 years of software development experience
  • At least 5 years of experience managing software development projects through complete release cycles and working with cross-functional business and technology teams
  • At least 5 years experience with Distributed Computing and Linux
  • At least 5 years experience with Programming (Python or Java)
  • At least 3 years experience in people management
  • At least 3 years experience with Cloud Computing (AWS)
  • At least 3 years experience with Databases (SQL, RDBMS) At least 2 years experience with Container environment (ECS)

Responsibilities
Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs.
Ensure adherence to defined development life cycle, good software design practices, and Architecture strategy and intent.
Partner with business systems analysts (BSAs), project managers (PMs), and customers to understand the scope of work, priorities, and requirements for development.
Work with DevOps leaders to define and align on standard operating procedures and best practices.
Automate the provisioning of environments.
Developing and enabling continuous integration/continuous deployment (CI/CD) for system components.
Troubleshooting problems, involving the appropriate resources and driving resolution of issues with a focus on minimizing impact to our customers.
Coordinate coding, testing, implementation and documentation of solutions.
Preferred Qualifications
At least 3 years experience with API based services At least 3 years experience in Agile (Jira) At least 2 years experience with Big Data (Hadoop, EMR) AWS Certified (Associate or Professional)

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