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Deep Learning Quantization Jobs in Tampa, FL (NOW HIRING)

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Deep Learning Quantization information

See Tampa, FL salary details

$10.4K

$79.3K

$132.3K

How much do deep learning quantization jobs pay per year?

As of Aug 6, 2026, the average yearly pay for deep learning quantization in Tampa, FL is $79,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $131,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a deep learning quantization engineer, and why are they important?

To excel as a Deep Learning Quantization Engineer, you need a strong background in machine learning, applied mathematics, and computer science, usually supported by an advanced degree in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), quantization toolkits, and hardware acceleration platforms is crucial. Analytical thinking, problem-solving, and clear technical communication are standout soft skills in this role. These abilities are essential for efficiently optimizing models for deployment on resource-constrained hardware while maintaining accuracy and performance.

What is the difference between Deep Learning Quantization vs Machine Learning Engineer?

AspectDeep Learning QuantizationMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; knowledge of neural networksBachelor's or Master's in CS, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, hardware optimization settingsSoftware development teams, data-driven projects, product-focused environments
Industry UsageAI hardware optimization, model deployment, edge computingModel development, data analysis, software solutions across industries

Deep Learning Quantization focuses on reducing model size and improving inference speed through techniques like weight and activation quantization, often in hardware or embedded systems. Machine Learning Engineers develop, implement, and optimize machine learning models for various applications. While both roles require knowledge of AI and programming, Deep Learning Quantization is more specialized in model optimization techniques, whereas Machine Learning Engineers work broadly on model development and deployment.

What is deep learning quantization?

Deep learning quantization is the process of reducing the precision of the numbers used to represent a neural network's parameters, activations, or both. By converting the typically used 32-bit floating-point values to lower bit-width formats such as 16-bit or 8-bit integers, quantization significantly reduces the memory footprint and computational requirements of deep learning models. This technique helps deploy models efficiently on edge devices and mobile hardware while maintaining acceptable accuracy levels. Quantization is widely used in model optimization for faster inference and lower power consumption.

What are some common challenges faced when implementing deep learning quantization in production environments?

One of the main challenges in implementing deep learning quantization is balancing model accuracy with computational efficiency, as quantization can sometimes lead to a drop in model performance. Additionally, ensuring hardware compatibility and optimizing for different devices (such as CPUs, GPUs, or edge devices) can require extensive testing and tuning. Collaboration with data scientists, software engineers, and hardware specialists is often essential to successfully deploy quantized models at scale. Staying updated with the latest quantization techniques and frameworks is also important for overcoming these challenges.
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What cities near Tampa, FL are hiring for Deep Learning Quantization jobs? Cities near Tampa, FL with the most Deep Learning Quantization job openings:
Deep Learning Quantization jobs near you
Infographic showing various Deep Learning Quantization job openings in Tampa, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,273 per year, or $38.1 per hour.

Senior Gen AI Developer -Vice President

Citigroup, Inc.

Tampa, FL • On-site

$113K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

40th of 170 rated banks

Job description

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.
Key Responsibilities:
  • Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.
  • Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.
  • Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).
  • Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.
  • Contribute to the development and optimization of real-time and streaming AI solutions.
  • Stay current with the latest advances in generative AI and actively share knowledge with the team.
  • Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.
  • Mentor junior team members, provide code reviews, and foster a culture of technical excellence.

Required Technical Skills:
  • Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
  • Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
  • Proficient in prompt engineering and familiarity with prompt design tools/frameworks.
  • Experience building RAG systems, including hybrid search and multi-vector retrieval.
  • Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
  • Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
  • Familiarity with generative AI tools like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.).
  • Solid understanding of AI compliance, guardrails, and responsible AI practices.
  • Strong skills in Python and experience with data preprocessing, feature engineering, and API development.

Required Soft Skills:
  • Strong collaboration skills to work effectively in cross-functional teams.
  • Analytical and proactive approach to problem-solving.
  • Clear communication skills for both technical and non-technical audiences.
  • Eagerness to learn, innovate, and mentor less experienced developers.

Qualifications:
  • At least 5 years of experience in AI/ML, including significant experience in Generative AI.
  • Demonstrated portfolio of successful AI-driven projects in a business environment.
  • Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.

Education:
  • Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 09, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

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Hours and flexibility

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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