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Python Artificial Intelligence Jobs in Texas (NOW HIRING)

IBM

Data Scientist-Artificial Intelligence

Houston, TX · On-site

Proficiency in Python programming, with experience in full AI project lifecycle, from research and ... At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing ...

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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

Artificial Intelligence Technical Lead

Dallas, TX • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees
Learn more about Avani Technology Solutions, Inc.external

Full-time

Re-posted 14 days ago

Job description

Artificial Intelligence Technical Lead
Dallas, TX or Indianapolis, IN
2 Years
No C2C at this moment. Any visa works
• Exposure to course work or projects in Machine Learning Libraries, Tensor Flow, Natural Language Processing (NLP) and Machine Vision
• At least 4 years' experience in application development using Python, R,
Python and R needed coming from a Java background or .NET Background.
Scala is a plus.
• At least 2 years' experience in handling data and working with database tools, e.g. SQL, Hadoop, Spark
• In this role, candidate will design, develop and create tools to get insight through application of machine learning, artificial intelligence and cognitive computing to build process automation platform. Candidate will be expected to be hands on as well as guide and mentor new analysts in the team.
Responsibilities:
• Work as a team lead in Automation and AI offering to understand underlying business problem and solutions
• Build Artificial Intelligence platform (Application development) through identification of appropriate machine learning algorithms
• As a team lead candidate will be working with various team members such as business analyst, data engineers, quality analyst, SMEs and with application developers
• Assess, document and articulate the effectiveness of different AI approaches
• Ability to create and train the models in machine learning methods including deep learning and ensembles
• Should be enthusiastic to learn and use APIs (like text analytics, language understanding etc.) to build AI and Cognitive applications
• Familiarity working with unstructured data
• Demonstrated experience solving business problems and delivering solutions to the client
• Ability to work in a multiple team and vendor environment
• Ability to work in an ambiguous and virtual environment
Qualifications
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Excellent leadership and management skills
• Ability to work using Agile delivery methodology
• Master's Degree in a quantitative discipline such as mathematics, statistics, process engineering or operations research is preferred

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