ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in Phoenix, AZ

Northern Trust

SVP AI Enterprise Architect

Tempe, AZ · On-site

$67 - $86.50/hr

Responsibilities : • Provide input, guidance, and expertise on generative AI and machine learning ... as Python and experience with AI/ML frameworks. • This role is primarily not a hands-on role ...

SynergisticIT

Tableau/Power Bi Developer (Junior)

Peoria, AZ · On-site

$66K - $86K/yr

... Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers ... For data science/data analyst/data engineer/AI/machine learning positions preferred skills include ...

next page

Showing results 1-20

All JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Phoenix, AZ

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 Jul 4, 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 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 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 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:
What job categories do people searching Junior Ai Machine Learning Python jobs in Phoenix, AZ look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Phoenix, AZ are:
Junior Ai Machine Learning Python jobs near you
Python-AI_ML-GenAI- Senior Engineer

Python-AI_ML-GenAI- Senior Engineer

AceStack LLC

Phoenix, AZ • On-site

Other

Posted 8 hours ago

Job description

Job Title: Python-AI_ML-GenAI- Senior Engineer
Location: Phoenix, AZ
FULLTIME ONLY
Job Description
Must Have Technical/Functional Skills
• Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java, Python
• Hands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.
• Experience in conversational interfaces, chatbots, machine learning, deep learning, and data analytics.
• Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
• Experience with automated release management using Maven, Salt, Git, Jenkins
• Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux
• Good understanding of data structures, algorithms, and design patterns
• Great written communication and documentation abilities
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferrable.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
• Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
Roles & Responsibilities
• Design and implement AI/ML solutions from POC to production
• Translate business requirements into scalable AI architectures
• Own model lifecycle: training, deployment, monitoring, retraining
• Deploy models into production with CI/CD pipelines
• Monitor model performance, drift, latency, and cost
• Ensure reliability, scalability, and security of AI systems
• Mentor junior AI/ML engineers and review code/designs
• Lead technical discussions and architecture reviews
• Provide guidance on best practices and standards
• Work closely with Product Owners, Architects, and Program Managers
• Present technical solutions to business and customer stakeholders
• Support proposal development and technical estimations
• Ensure AI solutions meet enterprise governance, security, and compliance standards
AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

Social media

FacebookTwitter

View All AceStack Jobs

Apply