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Machine Learning Engineer Quantization Jobs in Orlando, FL

Pwc

Google Cloud Architect - Senior Manager

Orlando, FL · On-site

$124K - $280K/yr

Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional ...

Ucf

Post Doctoral Scholar

Orlando, FL · On-site

$57K/yr

D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Deloitte

Databricks Engineer

Lake Mary, FL · On-site

... machine learning operations (MLOps), or infrastructure setup • Limited immigration sponsorship may be available. • Ability to travel 10%, on average, based on the work you do and the clients and ...

Guru Schools

Senior/Lead AI Engineer

Orlando, FL · On-site

MLflow, Azure Machine Learning, or equivalent model lifecycle tools. * Observability: Langfuse, Weights & Biases, Application Insights for model monitoring. * Security: OAuth 2.0, RBAC, data privacy ...

Leidos

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

Artificial Intelligence or Machine Learning * Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data engineering or data wrangling * Familiarity with data ...

INSPYR Solutions

Data Scientist

Orlando, FL · On-site

$45 - $51/hr

Must have experience and proficiency using machine learning platforms (e.g., AzureML), process ... Doctoral degree in industrial engineering, operations research, mathematics, statistics, computer ...

DataAnnotation

DevOps Engineer

Orlando, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Leidos

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

Artificial Intelligence or Machine Learning * Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data engineering or data wrangling * Familiarity with data ...

DataAnnotation

DevOps Engineer

Deltona, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Software Engineer

Deltona, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Software Engineer

Orlando, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Frontend Engineer

Deltona, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Frontend Engineer

Orlando, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Mobile Software Engineer

Orlando, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

DataAnnotation

Mobile Software Engineer

Deltona, FL · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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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 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:
Machine Learning Engineer Quantization jobs near you
Lead Data Scientist, Technology

Lead Data Scientist, Technology

Signature Aviation

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Signature Aviation rating

6.9

Company rating: 6.9 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

24th of 52 rated aviation services

Job description

Job Description
The Lead Data Scientist is responsible for designing, developing, and deploying production-ready data science and machine learning solutions that drive measurable business outcomes. This role operates as a senior individual contributor and technical lead, partnering closely with business, data, engineering, and platform teams to translate complex problems into scalable analytical solutions.
The position owns the full lifecycle of modeling initiatives, from problem definition and model development through deployment, monitoring, and continuous improvement. This role also helps establish standards, best practices, and repeatable patterns to mature enterprise data science capabilities.
Responsibilities
  • Design and develop statistical, machine learning, forecasting, and optimization models
  • Apply techniques such as regression, classification, clustering, time series, and anomaly detection
  • Translate business problems into scalable analytical approaches and measurable outcomes
  • Evaluate model performance, accuracy, stability, and business impact
  • Lead models from concept through production deployment and ongoing optimization
  • Partner with engineering teams to operationalize models into applications and workflows
  • Define and support model lifecycle processes, including versioning, monitoring, and retraining
  • Build reusable, maintainable, and well-documented modeling pipelines
  • Monitor model performance, drift, and usage; troubleshoot production issues as needed
  • Collaborate with stakeholders to define objectives, constraints, and success metrics
  • Identify and prioritize high-value data science opportunities
  • Communicate results, assumptions, risks, and recommendations clearly to technical and non-technical audiences
  • Support adoption by ensuring outputs are actionable, interpretable, and aligned to business needs
  • Perform exploratory data analysis to identify patterns and opportunities
  • Assess data quality, completeness, and suitability for modeling
  • Design and validate features that improve model performance
  • Partner with data teams to enhance analytical datasets and reusable data products
  • Apply and promote best practices for reproducibility, model governance, and responsible AI
  • Ensure alignment with enterprise standards for security, privacy, and compliance
  • Mentor data scientists and analysts on modeling techniques and production readiness
  • Lead technical and model reviews and contribute to data science standards and frameworks

Additional knowledge and skills:
  • Experience with machine learning and statistical libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
  • Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery)
  • Experience with cloud environments (AWS, Azure, or GCP)
  • Understanding of MLOps practices (model versioning, CI/CD, monitoring, lifecycle management)
  • Experience building reusable modeling pipelines or scalable data science solutions
  • Familiarity with tools such as MLflow, Git, and workflow orchestration platforms
  • Exposure to model governance and responsible AI practices
  • Experience with forecasting, optimization, pricing, or operational analytics is a plus
  • Exposure to generative AI or LLM-based solutions is a plus
  • Experience working in enterprise or matrixed environments is a plus

Qualifications
  • 7+ years of experience in data science, machine learning, statistics, or a related field
  • Advanced degree in a quantitative field (preferred)
  • Proven experience developing and deploying models in production environments
  • Experience leading complex analytical initiatives from problem definition through adoption
  • Strong proficiency in Python and/or R for modeling and production-quality code
  • Strong SQL skills for data exploration and dataset development
  • Experience working in cross-functional environments (engineering, analytics, business teams)
  • Ability to communicate complex concepts to non-technical stakeholders

About Us
With more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work™, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members' overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans.
From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.
Our Benefits:
  • Medical/prescription drug, dental, and vision Insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Life Insurance
  • Disability Insurance
  • 401(k)
  • Critical Illness, Hospital Indemnity and Accident Insurance
  • Identity Theft and Legal Services
  • Paid time off
  • Paid Maternity Leave
  • Tuition reimbursement
  • Training and Development
  • Employee Assistance Program (EAP) & Perks

Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.

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