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

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain ... ML frameworks including XGBoost and PyTorch for model development and training Design and optimize ...

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... prompt engineering strategies to improve model performance and relevance. • Experience in ... Preferred : • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn ...

CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, AI/ML(Sarima/Prophet), Release ... Experience with Agile development, continuous integration, continuous delivery, DevOps, and ...

New

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: Design ... ML and GenAI solutions to solve complex business problems. Work closely with data scientists ...

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine ... Expertise in Python and modern ML frameworks like PyTorch & Triton. * Experience with AWS SageMaker ...

Lead ML Ops Engineer

Tempe, AZ · On-site

$98K - $129K/yr

Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ... Advanced proficiency in Python and architectural mastery of objectoriented design across ...

Machine Learning Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Python, SQL, APIs, NLP, NoSQL, Spark / PySpark, CI/CD We are looking for a strong Machine Learning Engineer with hands-on experience in developing, deploying, and optimizing ML models in enterprise ...

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

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How much do python ml developer jobs pay per hour?

As of Jun 19, 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 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 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 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 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:
Infographic showing various Python Ml Developer job openings in Gilbert, AZ as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,543 per year, or $58.4 per hour.
AI/ML Engineer - Computer Vision

AI/ML Engineer - Computer Vision

Prime Solutions Group, Inc.

Phoenix, AZ • On-site, Remote

$110K/yr

Other

Posted 11 days ago


Job description

AI/ML Computer Vision Engineer

Prime Solutions Group (PSG), Inc. is seeking an experienced AI/ML Computer Vision Engineer to design, develop, and deploy advanced computer vision and machine learning solutions supporting mission-critical national security programs.

In this role, you will work at the forefront of artificial intelligence, applying state-of-the-art deep learning techniques to challenging real-world problems involving image, video, and sensor data. You will be responsible for developing and optimizing machine learning models, conducting experimentation, improving model performance, and transitioning AI capabilities into operational environments.

This position is ideal for engineers who enjoy solving complex technical challenges, working with large-scale datasets, and turning cutting-edge research into production-ready solutions.

Responsibilities Include:
  • Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
  • Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
  • Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
  • Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
  • Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
  • Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
  • Collaborate with software engineers and MLOps teams to integrate models into production environments.
  • Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
  • Create technical documentation, experiment reports, and performance assessments.
  • Support technical reviews, customer briefings, and cross-functional engineering efforts.
Requirements
  • U.S. Citizenship
  • Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
  • Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
  • Experience training and evaluating machine learning models using large datasets.
  • Experience developing and training computer vision models using deep learning techniques.
  • Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
  • Experience with model tuning, hyperparameter optimization, and performance evaluation.
  • Strong understanding of computer vision fundamentals and image analysis techniques.
  • Ability to improve model accuracy, robustness, and operational performance.
  • Familiarity with software engineering best practices, Git, and collaborative development workflows.
Preferred Skills or Experience:
  • Experience with generative AI technologies, including diffusion models and image generation systems.
  • Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
  • Experience with object tracking, multi-object tracking, or video analytics.
  • Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
  • Familiarity with reinforcement learning or autonomous systems.
  • Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
  • Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
  • Experience supporting defense, intelligence, aerospace, or other mission-critical programs.

At PSG, you'll work on challenging AI problems that directly support national security missions. You'll have the opportunity to collaborate with highly skilled engineers and researchers while helping shape the next generation of intelligent sensing, computer vision, and AI-enabled systems.

We offer:

  • Competitive compensation and benefits
  • Professional development and tuition assistance
  • Flexible and collaborative engineering culture
  • Exposure to cutting-edge AI/ML technologies
  • Direct impact on mission-critical programs
  • Opportunities to grow into technical leadership roles

Bring your passion for AI, computer vision, and machine learning to PSG and help build the next generation of intelligent mission systems.

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.