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Entry Level Machine Learning Jobs in Arizona (NOW HIRING)

SynergisticIT

Junior Java Developer

Peoria, AZ

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

MSR-FSR

Entry Level Install Technician

Chandler, AZ · On-site

$17.50 - $20.75/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

MSR-FSR

Entry Level Install Technician

Chandler, AZ · On-site

$17.50 - $20.75/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

MSR-FSR

Entry Level Install Technician

Chandler, AZ

$17.75 - $21/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

Microchip Technology

Engineer I-Software

Chandler, AZ · On-site

We are seeking a motivated and passionate entry level Full Stack Software Engineer to join our ... Exposure to machine learning concepts such as regression, classification, and model evaluation.

Komatsu

Electrician Apprentice

Mesa, AZ

Komatsu is offering a paid entry-level apprenticeship for an Electrician! In this role you'll ... Assistance with troubleshooting, new machine builds, and relocation of machines * Work under ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Arizona

Entry Level Machine Learning information

See Arizona salary details

$11

$16

$20

How much do entry level machine learning jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level machine learning in Arizona is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $17.69 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Entry Level Machine Learning jobs in Arizona? For Entry Level Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Arizona look for? The top searched job categories for Entry Level Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Machine Learning jobs? Cities in Arizona with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
junior software engineer/Data scientist

junior software engineer/Data scientist

SynergisticIT

Phoenix, AZ

$113K - $136K/yr

Other

Posted 6 days ago

Job description

From 'I Know basics" to 'I'm Ready for Interviews': Level Up Without Starting Over."
Not every jobseeker is a beginner. Many candidates already have foundational skills-maybe you've built projects, completed certifications, or worked in a tech-adjacent role. But when you apply to stronger companies or higher-paying roles, the bar shifts: you're expected to understand reliability, scalability, system design, cloud workflows, and real business tradeoffs. That's where many "training-only" paths fail-you learn tools, but you don't learn how to perform like a production engineer.
SynergisticIT has helped candidates since 2010 bridge that gap and land full-time roles with offers often ranging from $90,000 to $154,000, depending on role and level. JOPP candidates have received offers from employers such as Apple, Google, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Client, Walmart Labs, AutoZone, Client, and more. The program emphasis is not "watch videos and hope"-it's structured preparation aligned to what hiring managers actually test.
SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The program focus areas are Java / Full Stack / DevOps and Data Engineering / Analytics / Data Science / BI + Machine Learning / AI. For candidates aiming to level up, the value is that you build depth across multiple layers: backend + databases + cloud + CI/CD + projects + interview readiness.
about 30% of candidates who join JOPP have already tried other bootcamps or online learning (Udemy, Coursera, university bootcamps) but did not get hired-because those paths often deliver training without delivering job conversion. Skills matter, but how you package and demonstrate them matters just as much.
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact: https://www.synergisticit.com/contact-us/
If you're ready to stop being "almost qualified" and start being the candidate employers trust, fill out the contact form and ask which JOPP path matches your salary and role goals.
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