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Python Ai Ml Jobs in Texas (NOW HIRING)

Develop backend services and APIs using Java and/or Python . * Build modern frontend applications and integrate them with AI/ML services. * Implement RAG solutions using chunking, embeddings, vector ...

AI ML Developer 1 Key Responsibilities: - Design, develop, and deploy machine learning models for ... in Python and core machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow ...

Key Responsibilities AI/ML & Advanced Analytics Develop, train, and optimize ML models using Python ... PySpark, MLflow, and Databricks Machine Learning. Conduct exploratory data analysis (EDA) to ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

AI/ML Research and Innovation: Conduct cutting‐edge research in Generative AI (GAI) and Large ... Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face ...

The Director of AI ML will be a key strategic and technical leader within ADT's Data & AI ... Python, with a strong understanding of cloud data architectures Google Cloud Platform (GCP ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

AI/ML Research and Innovation: Conduct cutting‐edge research in Generative AI (GAI) and Large ... Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face ...

The Director of AI ML will be a key strategic and technical leader within ADT's Data & AI ... Python, with a strong understanding of cloud data architectures Google Cloud Platform (GCP ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

They are seeking an AI/ML Scientist responsible for building generative AI and large language ... Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries ...

Showing results 41-60

Python Ai Ml information

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

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

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

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

Infographic showing various Python Ai Ml job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Other

Posted 6 days ago


Job description

Who You Are

You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You''ve spent 7-10+ years mastering full-stack development and have moved confidently into agentic AI, RAG architectures, and LLM orchestration. You''re just as comfortable designing a vector store retrieval pipeline as you are hardening a CI/CD deployment on AWS. You thrive in fast-paced, in-office environments where live coding and hands-on problem solving are part of the culture, and you''re excited to bring responsible AI practices — guardrails, evaluation frameworks, and content filtering — into everything you build.

What You''ll Do

· Design and build AI/ML applications end-to-end, from architecture through production deployment

· Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS)

· Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI

· Develop and deploy solutions using AWS Bedrock, Anthropic Claude models, and model invocation APIs

· Apply advanced prompt engineering techniques — system prompts, few-shot, chain-of-thought, tool use, structured outputs

· Build conversational AI experiences, including chatbots (text) and voicebots (speech-to-text, text-to-speech)

· Design and maintain APIs (REST, GraphQL), microservices, and event-driven architectures

· Own CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code for production systems

· Implement evaluation frameworks, guardrails, content filtering, and responsible AI practices across LLM-powered features

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What You Bring

· Bachelor''s degree required

· 10+ years of software development experience (Java or Python), OR 7+ years if entirely full-stack + Agentic AI development experience

· 2+ years hands-on experience building AI/ML applications in production

· Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)

· Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI

· Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs

· Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs

· Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech)

· Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)

· Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code

· Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems

· Familiarity with evaluation frameworks for LLM outputs

· Experience with guardrails, content filtering, and responsible AI practices