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Python Ai Ml Jobs in Austin, TX (NOW HIRING)

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Python, C++, or C. • ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models ...

Apple

Formal Verification - AI/ML Engineer

Austin, TX

$184K - $324K/yr

Proficiency in Python and modern ML/AI frameworks and tooling (e.g., PyTorch, LangChain, LlamaIndex, Hugging Face, or similar). Background in formal methods, mathematical logic, or a strong ...

Apple

Formal Verification - AI/ML Engineer

Austin, TX · On-site

$184K - $324K/yr

Proficiency in Python and modern ML/AI frameworks and tooling (e.g., PyTorch, LangChain, LlamaIndex, Hugging Face, or similar). Background in formal methods, mathematical logic, or a strong ...

Xpedient Technologies, LLC

AI/ML Intern

Austin, TX · On-site

$14.75 - $19.75/hr

Python - Strong programming skills, comfortable writing clean code beyond notebooks * ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects

Quest Global

Senior AI/ML Engineer

Austin, TX · On-site

$95K - $105K/yr

AI Engineer/ ML Engineer with python or typescript. They should have knowledge of DE. and some knowledge in aws or some cloud. * Assess and integrate open-source tools, orchestration frameworks ...

Quest Global

Senior AI/ML Engineer

Austin, TX

$95K - $105K/yr

AI Engineer/ ML Engineer with python or typescript. They should have knowledge of DE. and some knowledge in aws or some cloud. * Assess and integrate open-source tools, orchestration frameworks ...

Quest Global

Senior AI/ML Engineer

Austin, TX · On-site

$95K - $105K/yr

AI Engineer/ ML Engineer with python or typescript. They should have knowledge of DE. and some knowledge in aws or some cloud. * Assess and integrate open-source tools, orchestration frameworks ...

Advanced Micro Devices

Sr. AI/ML Engineer

Austin, TX · On-site

$140 - $210/hr

THE ROLE We are seeking a hands-on AI/ML developer to build, scale and deploy the next generation ... Strong software engineering skills in Python, C++, Go, or similar languages, with experience ...

Advanced Micro Devices, Inc

Sr. AI/ML Engineer

Austin, TX · Hybrid

$103K - $142K/yr

We are seeking a hands-on AI/ML developer to build, scale and deploy the next generation AI ... Strong software engineering skills in Python, C++, Go, or similar languages, with experience ...

Rivago infotech inc

Senior ML Engineer

Manor, TX · On-site

$112K - $154K/yr

... experience in building and deploying AI/ML models. * Technical skill - Model development, Pipeline engineering, Monitoring, Feature engineering, Knowledge of Python framework like Pytorch

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How much do python ai ml jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for python ai ml in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in Austin, TX?

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Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Austin, TX as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

AI Software Engineer

Gallatin AI, Inc.

Austin, TX • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on transforming logistics infrastructure for national security missions. They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams.
Responsibilities:
• Build and Deploy AI/ML Models
• Own and develop an AI model aligned with our core product needs within the first three months.
• Validate AI-driven product features through real-world testing and feedback from warfighters.
• Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring.
• Own high model reliability and uptime by implementing monitoring across your work.
• Identify and integrate structured, unstructured, real-time, and batch data sources.
• Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality.
• Stay ahead of AI trends and emerging technologies to improve model performance.
• Document and share best practices for AI/ML development.
• Contribute to the hiring and mentoring of AI/ML talent as we grow our team.
• Teach the wider team about the latest trends and significance in novel approaches in AI.
Qualifications:
Required:
• Strong Programming Skills: Expertise in at least one: Python, C++, or C.
• ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs.
• MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana.
• AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).
• Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others.
Preferred:
• Experience mentoring and upskilling junior engineers.
• Familiarity with legacy systems and working with public sector customers.
• Contributions to open-source (AI/ML) projects.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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