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Junior Ai Machine Learning Python Jobs in Phoenix, AZ

Junior AI Engineer Location: Phoenix, AZ Job Type: Only W2 · Develop and deploy AI/ML models for ... Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · ...

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt ... Develop scalable Python applications, backend services, and enterprise integrations * Optimize AI ...

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Strong programming experience in Python and SQL including developing scalable data pipelines and ...

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

  • Medical

  • Retirement

  • PTO

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Strong programming experience in Python and SQL including developing scalable data pipelines and ...

Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps Required Skills * Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ...

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Junior Ai Machine Learning Python information

See Phoenix, AZ salary details

$46.2K

$93.9K

$141K

How much do junior ai machine learning python jobs pay per year?

As of Aug 18, 2026, the average yearly pay for junior ai machine learning python in Phoenix, AZ is $93,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $94,800.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Phoenix, AZ?

For Junior Ai Machine Learning Python jobs in Phoenix, AZ, the most frequently searched job titles are:

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 5 days ago


Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts