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Machine Learning Engineer Quantization Jobs in Sarasota, FL

Tenex

Head of Adversarial Research

Sarasota, FL · On-site

$180 - $300/hr

Experience leveraging AI/Machine Learning for threat intelligence and pattern recognition. Education & Certifications * Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related ...

Varsity Tutors

Statics Tutor

Saint Petersburg, FL · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Florida State University

Horticulturalist

Sarasota, FL · On-site

Collaborates interdepartmentally to develop programming and promote gardens and grounds. Provides ... Safely operate machinery, tools, equipment and materials used in area of work. University ...

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Machine Learning Engineer Quantization information

See Sarasota, FL salary details

$30.4K

$124.1K

$186.5K

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

As of Aug 23, 2026, the average yearly pay for machine learning engineer quantization in Sarasota, FL is $124,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $149,400.00 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 job categories do people searching Machine Learning Engineer Quantization jobs in Sarasota, FL look for?

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

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

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

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Sarasota, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,098 per year, or $59.7 per hour.

Sr. Technical Business Analyst, Wealth Management

Raymond James Financial, Inc.

Saint Petersburg, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Job Description Summary
As part of our Wealth Management Technology team, the Sr. Business Analyst serves as a strategic partner to business and technology stakeholders within Global Wealth Solutions, initially supporting the Alternative Investments and Private Markets platform. This role is responsible for driving the delivery of innovative, scalable, and efficient technology solutions that enhance advisor, client, and operational experiences.
The ideal candidate combines deep business analysis expertise with a strong understanding of emerging technologies, including Artificial Intelligence (AI), Generative AI (GenAI), automation, and data-driven decision-making. You will drive complex initiatives from requirements discovery and documentation through implementation while helping identify opportunities to leverage AI capabilities to improve business processes, operational efficiency, and client outcomes.
This role requires a blend of business acumen, technical expertise and strategic thinking to influence outcomes and ensure alignment with organizational objectives.
Job Description
This position follows our hybrid-friendly schedule, so you get the best of both worlds - flexibility and collaboration. In office days will be 2-3 per week averaging 10-12 days per month in our St Petersburg, FL Corporate Office.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Responsibilities
Business Analysis & Delivery
  • Drive the elicitation, analysis, documentation, and management of business, functional, and non-functional requirements for complex technology initiatives.
  • Translate business objectives and requirements into actionable requirements, user stories, process models, and solution specifications.
  • Conduct business process analysis, gap assessments, feasibility studies, impact analyses, and solution evaluations.
  • Facilitate workshops, stakeholder interviews, and discovery sessions across business and technology teams.
  • Collaborate with Product Owners, Developers, QA teams, UX designers, and business stakeholders to deliver high-quality solutions.
  • Assist in QA and User Acceptance Testing (UAT), validate test scenarios, and ensure delivered solutions meet business expectations.
  • Develop and maintain process maps, wireframes, prototypes, data flow diagrams, and business documentation, leveraging AI capabilities for the same.
  • Serve as a subject matter expert (SME) for assigned business domains, applications, and operational processes.
  • Support production issue triage, root cause analysis, and resolution activities, including occasional after-hours support.

Preferred Qualifications
  • Experience supporting Alternative Investments, Private Markets, Wealth Management, Advisory Platforms, or Investment Operations.
  • Experience with vendor-based software implementations and enterprise SaaS platforms.
  • Experience with AI, Generative AI, Machine Learning, Intelligent Automation, or Data Analytics initiatives.
  • Experience gathering requirements for AI-enabled workflows, knowledge management solutions, chatbot implementations, or automation initiatives.

Required Qualifications
  • 5 + years of Business Analysis experience, preferably within Financial Services, Wealth Management, Capital Markets, or enterprise technology environments.
  • Proven experience working on large, cross-functional technology initiatives and managing complex stakeholder relationships.
  • Strong understanding of SDLC methodologies including Agile, Scrum, Waterfall, and hybrid delivery models.
  • Proven experience translating complex business needs into technical requirements, user stories, workflows, and solution designs.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Proficiency in SQL, data analysis, and data mapping techniques.
  • Experience with tools such as Azure DevOps, TFS, ServiceNow, Splunk, Postman, and Microsoft Office Suite.
  • Experience creating process flows, wireframes, and solution documentation using tools such as Visio, Lucidchart, Figma, Marvel, or similar platforms, and use this experience to produce and validate similar outputs using AI capabilities.
  • Exceptional communication and facilitation skills with the ability to engage effectively across business, and technical audiences.
  • Demonstrated ability to influence decision-making and drive consensus across diverse stakeholder groups.

AI & Innovation Leadership
  • Help establish best practices for AI requirements management, business process redesign, and user adoption.
  • Partner with business and technology leaders to identify opportunities for AI, Generative AI, intelligent automation, and advanced analytics solutions.
  • Help with requirements gathering to define use cases for AI-enabled products and capabilities, including conversational AI, workflow automation, document intelligence, and knowledge management solutions.
  • Collaborate with Data Science, Data Engineering, Architecture, and AI Engineering teams to translate business needs into AI solution requirements.
  • Evaluate current-state processes and recommend opportunities for AI-driven process optimization and operational efficiencies.
  • Stay current on emerging AI technologies, industry trends, and regulatory developments impacting Wealth Management and Financial Services.

Education
Bachelor's: Computer and Information Science, High School (HS) (Required)
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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