1

Python Ml Developer Jobs in Gilbert, AZ (NOW HIRING)

Agentic AI Engineer

Phoenix, AZ

$113.70K - $136.50K/yr

... in AI/ML engineering or data science Strong programming skills in Python Hands-on experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch Experience with ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

... programming skills in Python (plus experience in JavaScript), with proficiency in ML libraries (scikit-learn, PyTorch), data manipulation (pandas, SQL) and statistical analysis • Hands-on ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML ... Python, SQL * Libraries & Frameworks:Scikit- learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries

AI Ops - Senior Architect

Phoenix, AZ

$66.75 - $89.25/hr

... programming/scripting in Python, Go, or Java for automation and ML integration. Experience with Kubernetes, Docker, microservices, and distributed systems. Deep understanding of time-series analysis ...

Expert level programming skills in Python and experience with Data Science and ML packages and frameworks * Proficiency with containerization technologies Docker Kubernetes and CICD practices

GCP Kubernetes SRE

Scottsdale, AZ · On-site

$57.50 - $76.25/hr

... Python, Ansible, and Node.js. The engineer will be crucial in maintaining and enhancing ... A significant aspect of the role involves applying AI/ML concepts and AIOps practices to improve ...

Senior AI Developer

Phoenix, AZ · Hybrid

$54 - $71.50/hr

Lead the design, development, and testing of full stack (frontend, backend, API) Python ... Design and develop AI/ML models for data analytics, prediction, and forecasting. Deploy and ...

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines ... Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise ...

next page

Showing results 1-20

Python Ml Developer information

See Gilbert, AZ salary details

$13

$58

$86

How much do python ml developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ml developer in Gilbert, AZ is $58.43, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $66.39 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 Gilbert, AZ? For Python Ml Developer jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Gilbert, AZ look for? The top searched job categories for Python Ml Developer jobs in Gilbert, AZ are:
Agentic AI Engineer

$113.70K - $136.50K/yr

Other

Posted 21 days ago


Job description

Job Summary We are seeking a highly skilled Agentic AI Engineer / Data Scientist to design, develop, and deploy advanced AI-driven systems capable of autonomous reasoning, decision-making, and workflow orchestration. The ideal candidate will have strong expertise in Generative AI, LLMs, AI agents, machine learning, and data science , along with hands-on experience building scalable AI applications in cloud environments. This role involves developing intelligent AI agents, integrating large language models, building ML pipelines, and collaborating with cross-functional teams to deliver innovative AI solutions for enterprise applications.

Key Responsibilities Design and develop Agentic AI systems using LLMs, autonomous agents, and multi-agent frameworks Build and deploy AI/ML models for prediction, automation, and intelligent decision-making Develop AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel Fine-tune and optimize LLMs including GPT, Llama, Claude, Gemini, or open-source models Create scalable data pipelines for structured and unstructured data processing Implement Retrieval-Augmented Generation (RAG) architectures and vector databases Work with cloud platforms such as AWS, Azure, or GCP for AI deployment and MLOps Collaborate with business stakeholders, product teams, and engineers to define AI use cases Develop APIs and integrate AI solutions into enterprise applications Monitor model performance, accuracy, and scalability in production environments Ensure AI solutions comply with security, governance, and responsible AI standards Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field 5+ years of experience in AI/ML engineering or data science Strong programming skills in Python Hands-on experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch Experience with Generative AI and Large Language Models (LLMs) Expertise in prompt engineering, RAG, embeddings, and vector databases Knowledge of AI agent frameworks like LangChain, CrewAI, AutoGen, or LangGraph Experience with SQL, NoSQL, and big data technologies Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices Experience with cloud AI services on AWS, Azure, or GCP Preferred Qualifications Experience with multi-agent AI systems and autonomous workflows Knowledge of NLP, Computer Vision, or Reinforcement Learning Experience with AI observability and evaluation frameworks Exposure to enterprise AI governance and AI security practices Certifications in Cloud AI or Machine Learning are a plus