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Machine Learning Engineer Quantization Jobs in Orlando, FL

Sr. AI/ML Engineer

Orlando, FL

$97.60K - $134K/yr

Title: Sr. AI/ML Engineer Location: Orlando, FL (Onsite) Duration: Contract Rate: on W2 Only locals ... years of experience · - Experience in machine learning and deep learning with Python. · ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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 ...

Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of ... Machine learning or data analysis * Strong willingness to learn, take direction, and work ...

Lead ML Ops engineer

Orlando, FL

$95.70K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

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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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 May 29, 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 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 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 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 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:
Sr. AI/ML Engineer

$97.60K - $134K/yr

Other

Posted 7 days ago


Job description

for the quick response please send resumes to: .

Title: Sr. AI/ML Engineer

Location: Orlando, FL (Onsite)

Duration: Contract

Rate: on W2

Only locals-inperson interview is must

Required Skills:

·      - 12 years of experience

·       - Experience in machine learning and deep learning with Python.

·        - Familiarity with Azure and cloud platforms.

·         -Experience with generative AI technologies.

·         -Develop end-to-end applications using large language models, focusing on Chain of

·         -Thought methodologies.

·         -Articulate the deployment process for Llama 3.1 (70B) model into production, ensuring scalability and performance.

·         -Collaborate with cross-functional teams to integrate LLM capabilities into existing systems and workflows.


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About Smart IMS

Sourced by ZipRecruiter

Smart IMS has grown to be one of the trusted technology and service partner for enterprises across the globe. Founded by business and technology experts with extensive experience in designing, implementing, and managing large and complex projects at Fortune 500 companies, we’ve perfected the craft of creating solutions that truly make a difference.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994