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Senior Python Ai Jobs in Texas (NOW HIRING)

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and ... You are already using Copilot or another AI assistant and understand your role as engineer is ...

Senior Python Engineer

Austin, TX · On-site +1

$120K - $162K/yr

About the Senior Python Engineer position Victory delivers high-quality software, solutions, and ... You are already using Copilot or another AI assistant and understand your role as engineer is ...

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior Python Developer will play a key role in designing, developing, and scaling our Agentic AI platform. This role requires deep expertise in Python development, AI-driven application ...

Python developer - Dallas, Tx

Dallas, TX · On-site

$49.75 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Senior Python Developer will play a key role in designing, developing, and scaling our Agentic AI platform. This role requires deep expertise in Python development, AI-driven application ...

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Showing results 1-20

Senior Python Ai information

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Texas?

The most popular types of Python Ai jobs in Texas are:

What job categories do people searching Senior Python Ai jobs in Texas look for?

The top searched job categories for Senior Python Ai jobs in Texas are:

What cities in Texas are hiring for Senior Python Ai jobs?

Cities in Texas with the most Senior Python Ai job openings:

Senior Python Engineer

Victory

Austin, TX • On-site, Remote

$120K - $162K/yr

Contractor

Re-posted 17 days ago


Job description

About the Senior Python Engineer position
Victory delivers high-quality software, solutions, and services to clients across various fields, including digital marketing, energy, and nutrition. As a member of the Victory team, you will have the opportunity to work in diverse domains translating their unique challenges to valuable solutions for our clients.
We are seeking a Senior Python Engineer to join our team. The ideal candidate will create robust and scalable software solutions that our clients can rely on and benefit from for years to come.
Senior Python Engineer responsibilities are:
  • Design and develop high-quality, maintainable code for our serverless applications on AWS
  • Utilize the Serverless Framework to build and deploy microservices that are both efficient and scalable
  • Collaborate with cross-functional teams to define, design, and ship new features
  • Lead architectural discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud
  • Optimize applications for maximum speed and scalability
  • Address and improve any technical issues
  • Work together with web designers to match visual design intent

Senior Python Engineer requirements are:
  • 5+ years experience developing software solutions with at least 2 years in Python
    • Bonus points if you have full stack experience
  • Significant expertise in designing, developing and consuming RESTful APIs
  • You enjoy designing simple solutions to complex problems.
    • You enjoy communicating your ideas with your team and improving that design to meet the needs of the customer.
  • Elegance and maintainability are key aspects of your design.
  • You are familiar with deploying applications to AWS.
    • Bonus points if you have serverless experience.
  • Collaborate with other skillsets on your team such as Front End Development, DevOps and Design.
  • You place a high value on documentation from that found in the code to process and playbooks found in a wiki.
    • You understand that the software will likely be run and maintained by others and feel a responsibility to them. Even future "you".
  • You are already using Copilot or another AI assistant and understand your role as engineer is evolving.
    • You are keen to evolve and help others to do so.
  • You own your pipelines: build, test, deploy etc.
  • You assume automated testing is required and work to ensure the appropriate levels of coverage for each test type: unit, functional, E2E.
  • Strong organizational skills with a good ability to prioritize tasks
  • Good ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques.
  • BS in computer science or other related area

Why Victory?
  • Victory delivers business value to its clients. It is rare that we build systems at large scale, but our solutions provide high impact to our clients.
  • The diversity of domains and the unique problems they present provide a constant opportunity to learn new things and grow technical skills to meet the need.
  • You have a great deal of autonomy. Our leaders work to enable you to make the most practical decisions for our clients and support both your successes and the learning that comes from inevitable failures.