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Junior Machine Learning Engineer Jobs in Wittmann, AZ

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Engineer II (ServiceNow Developer)

Phoenix, AZ · On-site

$53.50 - $73.75/hr

Job Summary (List Format) - Engineer II (ServiceNow Developer): - Develop, customize, and maintain ... Utilize knowledge of Machine Learning or Generative AI within ServiceNow, if applicable.

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

Showing results 41-60

Junior Machine Learning Engineer information

See Wittmann, AZ salary details

$31.5K

$67.5K

$102.9K

How much do junior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in Wittmann, AZ is $67,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $75,200.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Wittmann, AZ are hiring for Junior Machine Learning Engineer jobs?

Cities near Wittmann, AZ with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Wittmann, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $67,494 per year, or $32.4 per hour.

Senior Java Developer _ Phoenix, AZ _ Only USC OR GC

Cadre Technologies Services LLC

Phoenix, AZ • On-site

$56.75 - $72.50/hr

Other

Re-posted 4 days ago


Job description

Senior Java Developer with GenAI Copilot Experience
Phoenix, AZ
Only USC or GC
Job details:
Lead the design, development, and deployment of Java-based applications incorporating Generative AI solutions.
Leverage GitHub Copilot to improve development speed and code quality, serving as a mentor for team members on best practices.
Collaborate with data scientists and AI engineers to integrate AI models and algorithms into software applications.
Architect and implement scalable microservices and RESTful APIs aligned with business requirements.
Ensure the performance, security, and reliability of applications throughout their lifecycle.
Conduct code reviews, providing constructive feedback and guidance to junior developers.
Stay abreast of emerging technologies and trends in AI and software development to drive innovation.
Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
Requirements:
Bachelor s or Master s degree in Computer Science, Software Engineering, or a related field.
Minimum of 10 years of proven experience as a Java Developer with a strong portfolio of successful projects.
Extensive experience with Generative AI concepts, frameworks, and applications.
Proficiency in utilizing GitHub Copilot and other AI-assisted development tools to optimize coding processes.
Deep understanding of the Spring Framework, Hibernate, and other Java technologies.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.
Experience with database design, management, and SQL (MySQL, PostgreSQL, etc.).
Exceptional problem-solving skills, attention to detail, and a commitment to quality.
Strong communication, leadership, and mentorship abilities.
Preferred, but not required:
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus.