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Entry level machine learning engineer h1.location_city

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Entry level machine learning engineer • phoenix az

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Applied Machine Learning Engineer | ONSITE | PHOENIX, AZ

Motion RecruitmentPhoniex, Arizona, United States
[job_card.full_time]

We are seeking a Senior Applied Data Scientist – Applied Machine Learning to design, build, and deploy machine learning solutions that power data-driven products and decision-making.In this role, y...[internal_linking.show_more]

Attorney - Entry Level

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Applications Engineer-Machine Tools

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[job_card.full_time]

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[job_card.full_time]
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Attorney - Entry Level

PSIPhoenix, AZ, US
[job_card.full_time]
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A national law firm located in Phoenix, AZ, is seeking a passionate and committed Entry Level Attorney to join our growing team.This opportunity is perfect for recent law school graduates eager to ...[internal_linking.show_more]

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Davis Family Financial LLCPhoenix, Arizona, United States
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Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

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Whiting-TurnerPhoenix, AZ, US
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Senior Data Scientist - Python, Machine Learning

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[job_card.full_time]

Salary: $94,000 - 134,000 per year.Advanced degree in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.Over 3 years of demonstrated experience in building an...[internal_linking.show_more]

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Applied Machine Learning Engineer | ONSITE | PHOENIX, AZ

Applied Machine Learning Engineer | ONSITE | PHOENIX, AZ

Motion RecruitmentPhoniex, Arizona, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]
We are seeking a Senior Applied Data Scientist – Applied Machine Learning to design, build, and deploy machine learning solutions that power data-driven products and decision-making. In this role, you will develop and operationalize models and AI applications, including solutions that leverage large language models (LLMs) and retrieval-augmented generation (RAG). You will focus on translating real-world business problems into scalable machine learning systems and ensuring reliable performance in production.

You will collaborate with engineering, product, and domain teams to identify opportunities for machine learning and develop practical solutions using modern ML and data science techniques. As a senior contributor, you will lead model development and experimentation, establish best practices for evaluation and monitoring, and support the deployment and scaling of ML systems in production environments.

Location
This position is onsite in Phoenix, Az

Required Skills & Experience:
  • Building data pipelines and ML workflows that integrate with production systems
  • Model evaluation, experimentation, and performance monitoring
  • Building data pipelines and ML workflows that integrate with production systems
  • Developing and deploying machine learning models in production environments

Desired Skills & Experience:
  • Retrieval-augmented generation (RAG) or LLM-based applications
  • Model optimization, fine-tuning, or model selection strategies
  • Working with real-time or large-scale ML systems
  • Master’s degree in Computer Science, Data Science, Statistics, or a related field

Compensation:
Annual performance based bonus

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.