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Pytorch Developer Jobs in Tampa, FL (NOW HIRING)

Python GenAI Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Extensive experience with machine learning libraries and frameworks, including PyTorch and TensorFlow. * Solid understanding of machine learning algorithms and data preprocessing techniques.

Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch) * Experience with cloud AI ... Previous experience in a CoE or platform role * RPA Developer or AI/ML certifications (UiPath ...

Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks * Vector and Retrieval Mastery: Direct experience engineering ...

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). * Familiarity with AI ... Python programming * Natural Language Processing (NLP) * Agentic AI, including LangChain, LangGraph ...

... PyTorch (TensorFlow experience acceptable) • Airflow for job orchestration, particularly managing resources between training and inference workloads • Strong Kubernetes experience including ...

Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Working knowledge of CI/CD pipelines, DevOps practices, and automation frameworks. * Deep understanding of data ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

NumPy, Pandas, scikit learn, TensorFlow, PyTorch, Matplotlib, Seaborn. Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks. Expertise in ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling ... PyTorch or Scikit-learn Required Skills * Experience with CI/CD processes and automation

NumPy, Pandas, scikit learn, TensorFlow, PyTorch, Matplotlib, Seaborn. • Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks. • ...

Gen AI Technology Lead

Tampa, FL · On-site

$113K - $170K/yr

... PyTorch and/or TensorFlow , including fine‐tuning and embeddings Strong understanding of prompt engineering, workflow design, and Gen‐AI optimization (latency, cost, accuracy) Experience ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What cities near Tampa, FL are hiring for Pytorch Developer jobs? Cities near Tampa, FL with the most Pytorch Developer job openings:
Senior Python Developer - Vice President

Senior Python Developer - Vice President

Citigroup, Inc.

Tampa, FL • On-site

$114K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 170 rated banks


Job description

We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver critical, scalable, highly available, and performant applications. This role demands deep technical expertise, a strong focus on execution, and a proven ability to deliver robust software solutions, particularly within quantitative and market risk domains.
Key Technical Responsibilities:
  • Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
  • Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
  • Enforce industry-standard SDLC best practices and contribute to code quality through reviews.
  • Collaborate with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) for seamless delivery.
  • Drive development for Stress Testing and Regulatory Risk projects in the Market Risk domain.
  • Manage project technical aspects, including planning, governance, and taking ownership of initiatives.
  • Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.
Required Technical Qualifications:
I. Core Python & System Development:
  • 6+ years of hands-on experience in Application Development, primarily with Python.
  • Expert-level Python 3.x proficiency for scalable, resilient, and high-performance applications.
  • Advanced knowledge of Python frameworks (FastAPI, Django, Flask), best practices, and design patterns (OOP).
  • Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
  • Extensive experience with relational (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, Redis), including advanced SQL.
  • Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
  • Hands-on experience with CI/CD systems (Jenkins, GitLab CI, GitHub Actions, Bitbucket Pipelines) for automated deployment.
  • Highly experienced with Unix-based operating systems.
II. Cloud & DevOps:
  • Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
  • Advanced troubleshooting, debugging, and performance optimization for distributed systems.
  • Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
  • Solid understanding of secure coding practices and application security principles (OWASP Top 10).
  • Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows.
III. Quantitative & Risk Domain:
  • Experience developing Quantitative/Calc-intensive Python solutions with advanced computation libraries.
  • Sound understanding and exposure to various Risk Methodologies.
  • Exposure to mathematical modeling/finance insights.
IV. Artificial Intelligence (AI) Integration (Exposure):
  • Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
  • Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows.
  • Experience with Agentic AI tools, including writing Agents and Skills, and contributing to Agentic frameworks.
  • Understanding and practical application of Generative AI concepts in software development.
Professional Skills:
  • Deep understanding and practical experience with Agile/Scrum methodologies.
  • Exceptional ability to manage priorities and tasks effectively.
  • Strong analytical, logical, systems thinking, and critical analysis skills.
  • Excellent written and verbal communication for diverse audiences.
  • Ability to work independently, take ownership, and collaborate effectively in global teams.
Desirable Qualifications:
  • Polyglot Programming Exposure (e.g., Java).
  • Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
  • Frontend Development (React, Angular, Vue.js).
  • Relevant Cloud or Industry Certifications.
  • Experience with banking domain (pricing, risk), CFA/FRM certification.

Key Focus Areas / Desirable Skills
Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
Machine Learning: PyTorch, TensorFlow, Fine-tuning
Frameworks: LangChain, LlamaIndex, Hugging Face
Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
Orchestration: LangGraph, Multi-Agent Systems
Development: Python, FastAPI, Async Programming
Deployment: Docker, Production APIs, Monitoring
Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
Recommended Qualifications:
  • 6-10 years of relevant experience in Apps Development or systems analysis role
  • Extensive experience system analysis and in programming of software applications
  • Experience in managing and implementing successful projects
  • Subject Matter Expert (SME) in at least one area of Applications Development
  • Ability to adjust priorities quickly as circumstances dictate
  • Demonstrated leadership and project management skills
  • Consistently demonstrates clear and concise written and verbal communication

Education:
  • Bachelor's degree/University degree or equivalent experience
  • Master's degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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 18, 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

Pay

Benefits

Hours and flexibility

Workplace

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Citigroup Inc logo

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