1

Python Llm Jobs in Alabama (NOW HIRING)

Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow. * LLM Operations (LLMOps): Ability to operationalize large language models efficiently, including monitoring ...

Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow. * LLM Operations (LLMOps): Ability to operationalize large language models efficiently, including monitoring ...

Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow. * LLM Operations (LLMOps): Ability to operationalize large language models efficiently, including monitoring ...

Showing results 41-60

Python Llm information

What is a Python LLM?

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.

What are the most commonly searched types of Python Llm jobs in Alabama?

The most popular types of Python Llm jobs in Alabama are:

What job categories do people searching Python Llm jobs in Alabama look for?

The top searched job categories for Python Llm jobs in Alabama are:

What cities in Alabama are hiring for Python Llm jobs?

Cities in Alabama with the most Python Llm job openings:

Jr. Software Developer: HSV-26122

Huntsville, AL โ€ข On-site

$66K - $85K/yr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

deciBel Research has an immediate opening for a Jr. Software Developer in Huntsville, AL.

Position Description:

We are seeking a junior-level AI Software Developer (2โ€“5 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.

You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.

Responsibilities Include

  • Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices
  • Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources
  • Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers
  • Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies
  • Create scalable data models and services that support analytics, reporting, and digital engineering initiatives
  • Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment
  • Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures
  • Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities
  • Prototype innovative AI solutions and mature successful concepts into production-ready software
  • Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges

Education Requirements:

BS Computer Science or Computer Engineering

Experience Requirements:

  • A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships
  • Demonstrative experience with at least one modern programming language (Python, C++, Rust)
  • Experience with Linux operating system
  • Built at least one meaningful service/API
  • System-level thinking
  • Git + Linux proficiency
  • Curiosity, problem-solving, and a willingness to experiment
  • Comfort working in collaborative, iterative development environments
  • Strong communication skills and a desire to grow

Special Skills Desired:

  • 2โ€“5 years of software development experience with strong proficiency in Python or similar scripting languages
  • Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies
  • Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools
  • Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent
  • Experience developing RESTful APIs and working with structured and unstructured data.
  • Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus
  • Strong problem-solving, communication, and collaboration skills

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.