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Freelance Google Machine Learning Engineer Jobs in Arizona

Deloitte

AI Solutions Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Varsity Tutors

Machine Learning Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chandler, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Staffingine LLC

AIML Engineer

Scottsdale, AZ · On-site

AIML Engineer Job Location: Scottsdale - Arizona - USA Job Type: Contract to Hire * Design and ... Machine Learning LLMs LangChain or similar orchestrator Vector DB or similar GCP Google AutoML ...

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Freelance Google Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as a Freelance Google Machine Learning Engineer, and why are they important?

To thrive as a Freelance Google Machine Learning Engineer, you need a solid background in computer science, statistics, and machine learning, typically supported by a relevant degree and experience with real-world data projects. Familiarity with Google Cloud Platform (GCP), TensorFlow, and certifications like Google Professional Machine Learning Engineer are commonly required. Strong problem-solving abilities, self-motivation, and effective client communication distinguish top freelancers in this field. These skills and qualifications are crucial for delivering robust machine learning solutions tailored to client needs and efficiently navigating remote, project-based work.

What does a Freelance Google Machine Learning Engineer do?

A Freelance Google Machine Learning Engineer is a technical specialist who designs, develops, and deploys machine learning models using Google’s tools and platforms, such as TensorFlow and Google Cloud AI services. They work independently or with clients to solve data-driven problems, build predictive models, and automate processes using machine learning techniques. Their responsibilities may include data preprocessing, feature engineering, model training and evaluation, and integrating models into production systems. Freelancers often manage multiple projects and must stay updated on the latest ML advancements and Google technologies.

What are some common challenges freelance Google Machine Learning Engineers face when working with clients remotely?

Freelance Google Machine Learning Engineers often encounter challenges such as clearly defining project scopes, aligning on deliverables, and managing expectations, especially when working remotely. Communication can be more complex due to time zone differences and varying levels of technical understanding among clients. Staying updated with Google’s latest ML tools and ensuring secure, efficient data sharing are also important. Building strong documentation and regular progress updates can help foster trust and smooth collaboration.

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

AspectFreelance Google Machine Learning EngineerFreelance Data Scientist
CredentialsKnowledge of Google Cloud ML tools, programming skills in Python, TensorFlowStatistical expertise, programming in Python/R, data analysis skills
Work EnvironmentCloud platforms, AI/ML projects, collaboration with developersData analysis, reporting, model development, client communication
Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, marketing, research organizations

While both roles involve working with data and models, a Freelance Google Machine Learning Engineer specializes in deploying ML solutions on Google Cloud, focusing on AI/ML engineering tasks. A Freelance Data Scientist primarily analyzes data, builds statistical models, and provides insights. The roles overlap in skills but differ in focus and tools used.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Arizona? The most popular types of Google Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Freelance Google Machine Learning Engineer jobs in Arizona? For Freelance Google Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Google Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Freelance Google Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Freelance Google Machine Learning Engineer jobs? Cities in Arizona with the most Freelance Google Machine Learning Engineer job openings:
Freelance Google Machine Learning Engineer jobs near you

Machine Learning Operations Manager

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 16 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The MLOps Manager role is all about leading and managing the deployment, management, maintenance and optimization of machine learning models in production environments.

DUTIES AND RESPONSIBILITIES:

  • Team Leadership - provide mentorship, guidance and support to team members

  • Strategic Planning - develop and execute MLOps strategy aligned with Globe's objectives

  • Model Deployment and Management - oversee the deployment of Machine Learning models into production and ensures reliability, scalability and performance. Optimize the models to make it cost effective .

  • Infrastructure knowledge - evaluate and select appropriate infrastructure, tools and technologies to support end-to-end machine learning lifecycle

  • Automation and Orchestration - develop or oversee the development of pipelines for model inference and retraining

  • Collaboration - collaborate with data scientists, data engineers, insighters and other stakeholders to identify improvements in the models.

  • Model Governance - guides the implementation of alerting system or dashboards for tracking the health, performance and reliability of models in production and ensures compliance with regulations, privacy policies and standards

  • Continuous Improvement - drive continuous improvement initiatives for the enhancement of deployed models and MLOps practices

REQUIREMENTS:

  • Minimum of 5 years of experience in machine learning, data science, or software engineering roles.

  • At least 2-3 years of experience in MLOps, DevOps, or similar roles, with a focus on model deployment and operationalization

  • Proven track record of managing projects and leading teams.

    Knowledge of data privacy regulations and best practices in model governance and security.

    Willingness to continuously learn and adapt to new technologies and methodologies in the MLOps domain.

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Soft Skills:

  • Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and translate technical concepts into business terms.

  • Strong problem-solving abilities and analytical thinking

Hard Skills:

  • Proficiency in programming languages such as Python, R, or Java.

  • Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Strong understanding of CI/CD pipelines, version control (e.g., Git), and infrastructure as code (IaC).

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Apply