Machine Learning Engineer Jobs in Tucson, AZ (725)
junior full stack developer Java React.Js/Data Scientist/Engineer - Junior (Remote)
Software Engineer II
Software Engineer TS/SCI
Entry Level Software Engineer
Software Engineer II
Software Engineer II
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Senior Software Engineer OOJ
Junior Software Engineer
Senior Software Engineer-C++/Python
Software Engineer, Data Infrastructure & Acquisition - Tucson, AZ, USA
Physical AI Engineering Consultant - Senior - Consulting - Open Location
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
Advanced Software Engineer - GOLANG
Senior Software Engineer - Go
Full-Stack Engineer - Entry Level
Sr. Software Engineer
Software Engineer, Machine Learning
Data Scientist/Engineer - Junior
Principal Data Scientist
Computer Scientist
Data Scientist - Senior Manager- Consulting - Location OPEN
Entry/Junior Level Data Scientist/Python Programmer (Remote)
Junior Software Developer
Junior Tableau Developer
Entry Level Front-End Developer(Angular.js)
Entry level software Programmer
Entry level java programmer with NLP Deep learning/(Remote)
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
Junior Web Developer
Embedded Software Engineer
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineer Salary in Tucson
Machine Learning Engineers working in Tucson, AZ make an average annual salary of $142K and a maximum annual salary of around $189K.
Job Description
Working as a Machine Learning Engineer in Tucson, AZ
There are 725 Machine Learning Engineer opportunities available in Tucson, AZ all with unique requirements.
Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.
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Machine Learning Engineers in Tucson, AZ Resume Data
Average Experience for Machine Learning Engineers in Tucson, AZ
- More than 10 years: 49%
- 6-10 years: 32%
- 3-5 years: 17%
- Less than 1 year: 1%
- 1-2 years: 1%
Educational Background for Machine Learning Engineers in Tucson, AZ
- Masters: 36%
- Bachelors: 33%
- Doctorate: 17%
- Diploma: 8%
- Associates: 5%
Top Skill for Machine Learning Engineers in Tucson, AZ
- Analyzing data: 19%
- Attention to detail: 11%
- Mechanical knowledge: 11%
- Logic & critical thinking: 8%
- Advanced attention to detail: 8%
- Work motivation: 8%
- Basic maintenance and repair: 8%
- Work style: Conscientiousness: 8%
- Supervisory skills: Motivating & assessing employees: 8%
- Technical support: 8%
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