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Weekend Machine Learning Jobs in Arizona (NOW HIRING)

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 ...

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 ...

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

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 ...

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 ...

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 ...

Architect, design, and lead implementation of novel analytic methods and machine learning solutions for cybersecurity defense purposes, including anomaly detection, threat classification, and ...

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Monday - Friday, 6:00 a.m. to 3:30 p.m., with flexibility to work overtime, weekends, and holidays ... to learning from people whose backgrounds, skills, and perspectives challenge and enrich our own.

AI Data Engineer - Manager

Tempe, AZ · On-site

$109K - $131K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Builds statistical and machine-learning models to enhance understanding of trends and predict future performance * Participates in end-to-end data science project lifecycle - data mining and ...

Builds statistical and machine-learning models to enhance understanding of trends and predict future performance * Participates in end-to-end data science project lifecycle - data mining and ...

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Showing results 1-20

Weekend Machine Learning information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as machine learning engineers, healthcare professionals, and skilled tradespeople, are more likely to survive AI automation. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What jobs pay $2000 a day?

High-paying jobs that can pay $2000 a day often include specialized roles such as senior consultants, freelance software developers, or certain executive positions. These roles typically require advanced skills, extensive experience, and sometimes certification, and they may involve project-based or contract work with high hourly or daily rates.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
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:
AI/ML Engineer II

AI/ML Engineer II

USAA

Phoenix, AZ • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Employer: United Services Automobile Association

Tasks: Contribute to the development, testing, implementation, and integration of processes with business applications that utilize machine learning model predictions and classifications to inform or drive business activities. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards. Adhere to and applies ML development standards and coding best practices. 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, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Assist with designing and writing test scripts to verify data integrity and application of functionality. Review functionality of existing test scripts for understanding. Develop familiarity of machine learning engineering best practices by participating in trainings, reviewing documentation, and reading code from existing solutions. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders, including AWS, GCP, graph databases. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. May allow for partial telecommute.

Requirements: Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering, Information Technology, Applied Sciences, Mathematics, Physics, or related field followed by 2 years of work experience in job offered or in a related occupation. Position requires:

  • Programming Languages: Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML and CSS;
  • Machine Learning & NLP Frameworks: Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK;
  • Cloud Platforms & Data Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2), Snowflake Snowpark, and OpenShift; and
  • Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino

Worksite: One Norterra Drive, Phoenix, AZ 85085

Relocation assistance is Not Available for this position.

This position is eligible for the Employee Referral Program.

#DNP

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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