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Senior Python Ai Jobs in Texas (NOW HIRING)

Cotton Holdings Inc.

AI Solutions Fellowship

Houston, TX · On-site

$116K - $156K/yr

... • Python (optional but preferred) • Assist in developing AI agents / workflows (e.g., document processing, automation, analytics) • Conduct research on emerging AI tools and summarize ...

Jones Lang LaSalle IP, Inc.

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

JLL

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

AMSYS Talent

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

We are seeking a hands-on Senior Azure AI Foundry Engineer to build, scale, and maintain enterprise ... The engineer will design Python-based AI workflows, optimize Azure AI Foundry deployments, and ...

Diverse Lynx

Senior AI/ML Engineer

Dallas, TX

$50 - $60/hr

Senior AI/ML Engineer Location: Memphis, TN / Dallas, TX ( Onsite ) Position : ( C2C Role ... Python Design, build, train, and optimize machine learning and deep learning models Implement AI ...

Echo IT Solutions

Sr Software Engineer AI-ML

Irving, TX

$117K - $155K/yr

Sr Software Engineer AI-ML Require a blend of strong programming proficiency (especially Python - expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build ...

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

We're hiring a Senior Software Engineer to join our Platform Team. You'll help design and build the ... AI Agent Frameworks Experience: building or integrating with AI agent frameworks and LLM ...

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Senior Python Ai information

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 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 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 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 the most commonly searched types of Python Ai jobs in Texas? The most popular types of Python Ai jobs in Texas are:
What are popular job titles related to Senior Python Ai jobs in Texas? For Senior Python Ai jobs in Texas, the most frequently searched job titles 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 Ai jobs near you

AI / Machine Learning Engineer (Python)

Prophecy Technologies

Plano, TX • On-site

Full-time

Posted 11 days ago

Job description

Job Summary
We are looking for a Senior AI / Machine Learning Engineer with strong expertise in Python and end-to-end AI solution development. The role involves designing, building, deploying, and optimizing machine learning and deep learning models while contributing to scalable, secure, and high-performance application architectures.
Key Responsibilities
  • Develop, train, optimize, and evaluate machine learning and deep learning models for business use cases
  • Build and deploy end-to-end AI solutions including data ingestion, model development, testing, and production integration
  • Design, develop, and maintain high-performance Python applications and services
  • Ensure scalability, reliability, and security of AI applications
  • Build and integrate RESTful APIs and third-party services
  • Automate workflows, data processing, and reporting using Python
  • Troubleshoot complex application and database issues and implement long-term solutions
  • Contribute to system architecture decisions and technology roadmaps
  • Lead code reviews, enforce best practices, and mentor junior engineers
  • Collaborate with product owners, data analysts, and stakeholders to translate business requirements into technical solutions

Required Skills & Experience
  • Strong hands-on experience with Python for application and AI development
  • Experience developing and deploying machine learning and deep learning models
  • Knowledge of end-to-end AI/ML pipelines including data ingestion, training, evaluation, and deployment
  • Strong understanding of RESTful API design and integration
  • Experience with scalable application architectures and cloud-native services
  • Strong debugging and troubleshooting skills across application and database layers

Competencies
  • Strong analytical and problem-solving skills
  • Ability to translate business problems into technical solutions
  • Leadership and mentoring capabilities
  • Excellent communication and collaboration skills
  • Ownership mindset and attention to code quality and performance

Preferred Skills
  • Experience with cloud platforms and MLOps practices
  • Exposure to system design and architecture planning
  • Familiarity with automation frameworks and CI/CD pipelines
  • Experience working in Agile development environments

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