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Python Llm Jobs in Florida (NOW HIRING)

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Sr Backend Engineer - AI

Tampa, FL · On-site

Backend Engineer Python LLM Senior Backend Engineer - AI & Azure (Python / LLM) Overview We are seeking a Senior Backend Engineer to design, build, and scale AI?powered backend services using large ...

Purple Drive Technologies

Sr Python Developer

Tampa, FL · On-site

$114.80K - $154.50K/yr

Develop scalable architectures for LLM-powered applications such as chatbots, retrieval-augmented ... Strong hands-on development experience in Python (5+ years). * Proven expertise with LangChain and ...

Cloud think technologies LLC

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Detailed JD - have expertise in AI, Large Language Models (LLM), and Python scripting. Exposure to Anti-Money Laundering (AML) is preferred. This role involves developing and implementing AI ...

Virtusa

Python Data Engineer

Tampa, FL

$108.20K - $129.90K/yr

Evaluate, integrate, and work with Large Language Model (LLM) frameworks. * Collaborate with data ... Programming: Expert proficiency in PySpark and Python for data manipulation and pipeline ...

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Python Llm information

What is a Python LLM job?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM Engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
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Python Llm jobs near you

Data / ML Platform Engineer (Python)

Purple Drive Technologies

Tampa, FL • On-site

$108.20K - $129.90K/yr

Full-time

Posted 24 days ago

Job description

Overview:
Data / ML Platform Engineer (Python, LLM Pipelines, Batch Processing)
Job Summary
We are looking for a Data / ML Platform Engineer to design and manage Python-based batch pipelines for evaluating machine learning and LLM models.
The role involves building scalable pipelines that process large datasets, interact with LLM APIs, and store structured outputs for analytics and benchmarking.
Key Responsibilities
ML / Data Pipeline Development
  • Build and maintain Python batch pipelines for:
    • Model evaluation
    • Dataset processing
  • Design resumable and fault-tolerant workflows
LLM Integration
  • Integrate with:
    • GPT / Claude / other LLM APIs
  • Execute large-scale evaluation workflows
Data Engineering
  • Load and process data from:
    • Cloud storage (S3, GCS, Azure Blob)
  • Transform and structure data for analytics
Database & Storage
  • Store results in:
    • MongoDB (structured outputs)
  • Ensure efficient data retrieval and storage
Performance & Scalability
  • Optimize:
    • Pipeline execution
    • Cost and latency
  • Handle high-volume batch jobs
Cloud & DevOps
  • Deploy pipelines on:
    • AWS / GCP / Azure
  • Use:
    • CI/CD pipelines
    • Version control (Git)
Monitoring & Reliability
  • Implement:
    • Logging and monitoring
    • Error handling & retries
  • Ensure pipeline stability
• Required Skills
Core Skills
  • Strong Python development
  • Experience with:
    • Batch pipelines / ETL
    • Data processing
AI / ML
  • Hands-on with:
    • LLM APIs (GPT, Claude)
    • Prompt engineering
  • Experience with:
    • RAG pipelines (preferred)
Data & Storage
  • MongoDB / NoSQL databases
  • Data structuring and transformation
Cloud
  • AWS / GCP / Azure
  • Cloud storage services
DevOps
  • Git / GitHub
  • CI/CD pipelines
Experience Required
  • 5-8 years total experience
  • 2+ years in ML / data pipelines / LLM-based systems

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