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Freelance Full Stack Machine Learning Engineer Jobs in Arizona

Intel

Machine Learning Engineer

Phoenix, AZ · On-site

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

Infinia Search Inc

Be Seen First

Applied Machine Learning Engineer

Chandler, AZ · On-site

$60 - $95/hr

As an Applied Machine Learning Engineer, you will support informed decision-making around the application of machine learning and AI models in safety- and reliability-constrained systems. This role ...

Pyramid Consulting, Inc

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

... Full Stack Developer for a full-time position in Phoenix, AZ. The role involves working with Java ... machine learning fundamentals and model telemetry. Qualifications : Required : • Good ...

Bespoke Labs

Machine Learning Engineer

Phoenix, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Chandler, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Flagstaff, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Flagstaff, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Scottsdale, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Glendale, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Scottsdale, AZ · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

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Java/Full-Stack Developer (Junior)

Java/Full-Stack Developer (Junior)

SynergisticIT

Arizona City, AZ • On-site

$52.75 - $68.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Since 2010, SynergisticIT has been helping jobseekers find tech jobs by teaching them the skills, experience, and knowledge they need to do well in interviews and impress clients.
The tech job market has been heavily impacted by layoffs. Since 2021, there have been over 600,000 layoffs in the industry.
The job market is extremely competitive. For every open position, 500-1,000 or more people are applying. Many of them are laid-off workers who are now competing for entry-level jobs too.
Please see the below links to know more about Synergisticit and some useful tips
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
We work closely with top tech companies to give our candidates an edge.
At SynergisticIT, we understand the gap between what employers want and the skills employees have. Since 2010, we've helped thousands of people land jobs with companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
We're always looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, data engineers, and machine learning engineers for full-time roles with our clients.
Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or Science. Also, people looking to change careers or those with gaps in employment who want to start a career in the tech industry.
We are looking for candidates in Data Science, Machine Learning, Data Analysis, and Java Full-Stack roles.
Preferred Skills for Java/Full-Stack/DevOps Positions:

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT.
  • Knowledge of Core Java, JavaScript, C++, or software programming.
  • Experience with Spring Boot, Microservices, Docker, Jenkins, GitHub, Kubernetes, and REST APIs.
Preferred Skills for Data Science/AI/Machine Learning Positions:
  • Associate, Bachelor's, or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics, or strong logical aptitude.
  • Knowledge of Statistics, Generative AI, Large Language Models (LLM), Sagemaker, Python, Computer Vision, and data visualization tools.
Additional Information:
  • If you lack technical skills, you can explore our other programs to help secure a job.
  • If you receive emails from our Job Placement team and are not interested, please reply to ask them to remove you from their contact list. This will prevent further contact, as the team shares its database with the client servicing team, which only reaches out to candidates matching client requirements.
  • No phone calls, please. Only shortlisted candidates will be contacted.
  • We do not accept applications from third-party agencies or c2c candidates.

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