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Python Artificial Intelligence Jobs in Texas (NOW HIRING)

InterSources Inc

Python/PySpark Developer

Irving, TX · On-site

$46.75 - $64.25/hr

Responsibilities : • Having 8 years of experience • Experience in Core Python • Experience in developing data processing tasks using PySpark • Good knowledge about Artificial Intelligence and ...

Hireblazer

Artificial Intelligence Engineer (AI/ML)

Austin, TX · On-site

$113K - $136K/yr

Artificial Intelligence Engineer (AI/ML) Duration: 12 Months Location: Austin, TX 78744 Note: This ... Python - 1-3+ years production experience, this is your primary language AI/ML Production - Built ...

SQDM

USA_Artificial Intelligence Engineer

Frisco, TX · On-site

$114K - $151K/yr

Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or LangChain (or equivalents). * Hands-on experience deploying AI models/services in a cloud environment ( AWS ...

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Python Artificial Intelligence information

What is a Python artificial intelligence specialist?

A Python Artificial Intelligence (AI) specialist is a professional who uses the Python programming language to design, develop, and implement AI systems and solutions. Their work often includes building machine learning models, natural language processing applications, and neural networks using popular Python libraries such as TensorFlow, PyTorch, and scikit-learn. They play a critical role in analyzing data, automating tasks, and creating intelligent software that can learn and adapt over time. These specialists are in demand across industries like healthcare, finance, and technology, where AI-driven insights and automation are valuable.

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

To excel as a Python Artificial Intelligence Engineer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or computer science. Familiarity with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Critical thinking, problem-solving abilities, and effective communication skills help you interpret data, design solutions, and collaborate with cross-functional teams. These skills are crucial for developing robust AI models, efficiently handling complex data, and delivering impactful technological solutions.

What are some common challenges faced by Python artificial intelligence developers when working on production-level AI systems?

Python Artificial Intelligence developers often encounter challenges such as ensuring code scalability, optimizing model performance, and handling large datasets efficiently. Integrating AI models into existing production systems can also be complex, especially when coordinating with DevOps and software engineering teams to maintain reliability and uptime. Additionally, staying updated with rapidly evolving libraries and frameworks, and balancing experimentation with project deadlines, are typical hurdles. Collaborating closely with data scientists, product managers, and engineers is essential for overcoming these challenges and delivering robust AI solutions.

What is the difference between Python Artificial Intelligence vs Data Scientist?

AspectPython Artificial IntelligenceData Scientist
Required CredentialsProficiency in Python, AI frameworks, machine learning certificationsDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, research labs, AI startupsBusiness analytics, finance, healthcare, tech firms
Employer & Industry UsageDeveloping AI models, automation, machine learning applicationsData analysis, predictive modeling, data visualization
Search & Comparison IntentFocus on AI development using PythonFocus on data analysis and insights

Python Artificial Intelligence specialists focus on developing AI models and automation using Python, often working in tech and research environments. Data Scientists analyze data to extract insights, frequently utilizing Python as a tool. While both roles require Python skills, AI roles emphasize machine learning and AI frameworks, whereas Data Scientists focus on data analysis and visualization.

What cities in Texas are hiring for Python Artificial Intelligence jobs?

Cities in Texas with the most Python Artificial Intelligence job openings:

Python Artificial Intelligence jobs near you

Senior Artificial Intelligence Engineer

Baytown, TX • On-site

Covestro AG
See more jobs at Covestro AGexternal

$95K - $130K/yr

Other

Re-posted 26 days ago

Job description

Senior Artificial Intelligence (AI) Engineer

We are Covestro. We are curious, courageous, and colorful. We refine chemical material solutions with game‑changing products. Join us and our 18,000 colleagues to help make the world a brighter place.

Major Tasks and Responsibilities
  • Engineer and deploy AI and machine learning models into production environments.
  • Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management.
  • Create monitoring systems to detect model drift and implement automated retraining mechanisms.
  • Architect scalable AI solutions leveraging cloud and edge computing technologies.
  • Develop and maintain microservice architectures supporting AI deployments.
  • Implement data pipelines to support training and inference needs across diverse data types.
  • Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency.
  • Work cross‑functionally with business stakeholders to align AI solutions with business needs.
  • Evaluate and incorporate emerging AI technologies to maintain competitive advantage.
  • Drive business value by successfully integrating AI capabilities into Covestro's core processes.
  • Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation.
  • Enable data‑driven decision making by making AI accessible and reliable for business users.
Basic Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field with 7+ years’ experience; or Master’s degree with 5+ years’ experience; or PhD with 3+ years’ experience.
  • 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems.
  • Experience with modern AI frameworks.
  • Strong expertise in containerization and cloud platforms.
  • Proficiency with data processing technologies and database systems.
  • Programming expertise in Python and familiarity with other languages.
  • Strong problem‑solving skills and ability to translate business requirements into technical solutions.
  • Excellent communication skills with ability to explain complex technical concepts to diverse audiences.
  • Adaptability to work in a fast‑paced environment with evolving technologies and requirements.
  • Willingness to travel occasionally for collaboration purposes.
Equal Employment Opportunity

Hiring and advancement are based on job‑related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.

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