ZipRecruiter

Log In

1

Machine Learning Engineer Quantization Jobs in Orlando, FL

KPMG US

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

Required : • Minimum three years of recent experience in data science, machine learning engineering, or a similar role with a focus on building and deploying AI models • Minimum of a bachelor ...

Apple

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Apple

GPU Design Verification Engineer

Orlando, FL

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

The Walt Disney Company

Sr Software Engineer

Orlando, FL · On-site

$135K - $181K/yr

Apply machine learning and AI techniques to optimize licensing workflows * Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. * Stay ...

4C North America

Software Engineer

Orlando, FL

Role: Software Engineer Type: Full-Time Location: Orlando, FL - Hybrid Reports to: Software ... Knowledge of artificial intelligence (AI) and machine learning (ML). * Knowledge of event driven ...

Caeus

Software Engineer

Orlando, FL

Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

CAE, Inc.

Software Engineer

Orlando, FL · On-site

Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Ucf

Post Doctoral Scholar, Physics

Orlando, FL · On-site

Strong programming experience with PyTorch for machine learning and scientific computing applications. Additional Application Materials Required: UCF requires all applications and supporting ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Orlando, FL

Machine Learning Engineer Quantization information

See Orlando, FL salary details

$29.4K

$120.2K

$180.6K

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

As of Aug 22, 2026, the average yearly pay for machine learning engineer quantization in Orlando, FL is $120,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,700.00 per year, depending on experience, location, and employer.

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 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 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 Orlando, FL?

For Machine Learning Engineer Quantization jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Orlando, FL look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Machine Learning Engineer Quantization jobs?

Cities near Orlando, FL with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you

Data Scientist- Senior Associate

KPMG US

Orlando, FL • On-site

$55K - $55K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
KPMG US is a leading provider of audit, tax, and advisory services, known for its commitment to individual development and innovative excellence. They are seeking a Senior Associate Data Scientist to join their Audit Technology Alliance organization, where the primary responsibilities include developing generative AI solutions, collaborating with product managers and AI engineers, and providing technical leadership to junior data scientists.
Responsibilities:
• Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established architecture; drive quality into prompt engineering and optimization for business use cases
• Collaborate closely with product managers, senior data scientists, and AI engineers to translate feature requirements into production-ready code and contribute to the team's technical objectives
• Focus on continuous innovation by assisting in prototyping modern AI agent and orchestration patterns using frameworks like LangChain/LangGraph
• Drive the delivery of robust data science features by taking ownership of specific modules from development and experimentation through to deployment
• Engage in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality
• Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum three years of recent experience in data science, machine learning engineering, or a similar role with a focus on building and deploying AI models
• Minimum of a bachelor's degree is required
• Experienced in working with LLMs, AI frameworks like LangChain or Semantic Kernel, and building AI-powered applications
• Strong programming skills in Python and its data science libraries; experience with Azure, Databricks, or Microsoft Fabric is a significant plus
• Proficient with SDLC tools and methodologies including Git, Azure DevOps, and working within an agile framework
• Excellent problem-solving skills; able to communicate technical details effectively within a collaborative team environment
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
Preferred:
• Master's degree from an accredited college or university in computer science, data science, statistics, or a related technical field is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply