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Weekend Machine Learning Jobs in Arizona (NOW HIRING)

Machine Operator

Mesa, AZ · On-site

$16.25 - $19.50/hr

Learning and Development * Crosstrain on multiple machines and fabrication processes. * Demonstrate ... Overtime, including evenings or weekends, may be required to meet production deadlines. Some travel ...

Machine Operator

Mesa, AZ · On-site

$16.25 - $19.50/hr

Learning and Development * Cross-train on multiple machines and fabrication processes ... Overtime, including evenings or weekends, may be required to meet production deadlines. Some travel ...

AI-ML Engineer 1

Tucson, AZ · On-site

$98K - $118K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the scalability, reliability, and performance of AI systems through development and testing * Execute ...

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing ...

Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

Development, Machine Learning & Maintenance (30%) * Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences. * Participates in end-to-end data science project lifecycle - data mining and ...

AI/ML Engineer II

Phoenix, AZ · On-site

$116K - $139K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing ...

This role requires the ability to manage multiple projects concurrently; evening and weekend work ... Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ...

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting * Data Visualization Power BI Tableau Matplotlib Seaborn * Big Data Technologies Spark Hadoop basic ...

Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

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Weekend Machine Learning information

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 cities in Arizona are hiring for Weekend Machine Learning jobs? Cities in Arizona with the most Weekend Machine Learning job openings:

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Re-posted 25 days ago


Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.