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Python Ml Developer Jobs in Frisco, TX (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch)

IT America Inc

ML Engineer

Plano, TX · On-site

ML Engineer Location: Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview ... Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi ...

QTech US Inc

AI/ML Engineer - Plano, TX

Plano, TX

$110.10K - $132.20K/yr

Python programming Machine Learning & Deep Learning TensorFlow / PyTorch / Scikit-learn End-to-end ML pipeline development Model deployment & REST APIs SQL / NoSQL databases Data structures ...

Frontier Technology Inc.

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dallas, TX · On-site +1

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Vistra Corp

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Luminant

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Vst

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Vistra Energy

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134.40K - $165.20K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. Proven ...

Vistra Corp.

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134.40K - $165.20K/yr

You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ... A "data-first" Python developer who understands the challenges of enterprise data systems. • ...

Paradigm

Manager, ML Ops Infrastructure

Irving, TX · Remote

$110K - $144.30K/yr

Python programming experience with fluency in ML frameworks (PyTorch, TensorFlow) and LLM APIs (OpenAI, Anthropic, Azure OpenAI). * Experience with the modern AI/ML toolchain including model serving ...

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Frisco, TX is $54.87, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $62.31 per hour, depending on experience, location, and employer.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Frisco, TX? For Python Ml Developer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Frisco, TX look for? The top searched job categories for Python Ml Developer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Python Ml Developer jobs? Cities near Frisco, TX with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Frisco, TX as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,121 per year, or $54.9 per hour.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Posted 13 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration