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

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

AI/ML Engineer ?? Location: Plano, TX (Hybrid) ?? Duration: Long-Term Contract Client: EmergerTech ... Strong programming experience with Python. * Experience with Machine Learning frameworks including ...

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)

... testable Python code; familiarity with agile development and CI/CD concepts Preferred ... pipelines * DevOps & containerization - hands-on experience with Docker, Kubernetes, or cloud ...

... Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around ...

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 ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/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 ...

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/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. • ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/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 ...

Lead Developer - Python , Gen AI

Irving, TX · On-site

$134K - $165K/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 ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/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 ...

Hiring: Python Full Stack Developer Dallas, TX (Onsite) W2 Only We are looking for a highly ... ML application development ✅ Familiarity with LangChain / LangGraph or similar frameworks ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/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 ...

## Lead Developer - Python , Gen AIApplylocations: Irving, Texastime type: Full timeposted on: Posted ... You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and ...

Backend Python Developer Category: Software Development/ Engineering Main location: United States ... Experience building APIs that serve AI/ML models . Experience working with large scale enterprise ...

Senior AI/ML engineer

Richardson, TX · On-site

$94K - $130K/yr

We are looking for a skilled AI ML Engineer to join our AI Data & Practice team. Responsibilities ... Develop clean, scalable, and production-ready Python applications using modern AI/ML frameworks and ...

Showing results 41-60

Python Ml Developer information

See McKinney, TX salary details

$12

$54

$80

How much do python ml developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python ml developer in McKinney, TX is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $61.78 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 job categories do people searching Python Ml Developer jobs in McKinney, TX look for?

The top searched job categories for Python Ml Developer jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Python Ml Developer jobs?

Cities near McKinney, TX with the most Python Ml Developer job openings:

$109K - $131K/yr

Full-time

Re-posted yesterday


Job description


AI/ML Engineer
?? Location: Plano, TX (Hybrid)
?? Duration: Long-Term Contract
Client: EmergerTech - USLBM
Job Overview
We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs) to design, build, and deploy enterprise-scale AI solutions. The ideal candidate will have hands-on experience developing production-ready AI applications, implementing MLOps best practices, and building scalable cloud-based machine learning systems.
This role offers the opportunity to work on cutting-edge AI initiatives, including Generative AI, Retrieval-Augmented Generation (RAG), LLM fine-tuning, and intelligent enterprise applications.
Key Responsibilities
  • Design, develop, train, and deploy scalable Machine Learning and Deep Learning models for production environments.
  • Build AI-powered applications using traditional ML techniques, Generative AI, and Large Language Models (LLMs).
  • Develop and optimize data pipelines for structured and unstructured data processing.
  • Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.
  • Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.
  • Build, automate, and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
  • Collaborate with Data Scientists, Software Engineers, Data Engineers, and business stakeholders to deliver AI-driven solutions.
  • Optimize model accuracy, scalability, inference performance, and latency.
  • Implement AI governance, responsible AI practices, model monitoring, and security best practices.
  • Stay current with emerging AI technologies, frameworks, and industry trends.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 10+ years of hands-on experience in Artificial Intelligence, Machine Learning, or Data Science.
  • Strong programming experience with Python.
  • Experience with Machine Learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI.
  • Experience implementing Retrieval-Augmented Generation (RAG) solutions.
  • Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Milvus.
  • Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, or Vertex AI.
  • Experience building REST APIs using FastAPI, Flask, or similar frameworks.
  • Strong understanding of SQL and NoSQL databases.
  • Hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications
  • Experience with LangChain, LlamaIndex, or Semantic Kernel.
  • Experience working with Azure OpenAI, OpenAI APIs, Anthropic Claude, or Google Gemini.
  • Knowledge of distributed computing frameworks such as Apache Spark.
  • Experience with Databricks or Snowflake.
  • Familiarity with Responsible AI, AI Governance, and Model Monitoring.
  • AI/ML or Cloud certifications are a plus.

Technical Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • LangChain / LlamaIndex
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • FastAPI / Flask
  • Docker
  • Kubernetes
  • MLflow / Kubeflow
  • SQL / NoSQL
  • Vector Databases (Pinecone, FAISS, Chroma, Milvus)
  • REST APIs
  • Git
  • CI/CD
  • AWS / Azure / Google Cloud Platform