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Remote Senior Machine Learning Engineer Jobs in Arizona

AI and Data Science Engineer III

Tempe, AZ ยท On-site +1

$109.70K - $131.70K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

Senior BIM Coordinator

Yuma, AZ ยท On-site +1

$35 - $40/hr

Remote Senior BIM Coordinator Location: Remote (Candidates must live within 60 miles of the hub ... Degree in Architecture, Engineering, Construction, CAD, or equivalent experience * Proficient in ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Research Engineer

Phoenix, AZ ยท On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related ...

Remote Senior Substation Lead Engineer, PE

Phoenix, AZ ยท Remote

$99.80K - $135.50K/yr

Candidates must have a Bachelor's degree in Electrical Engineering, a PE License, and at least nine years of relevant experience.The position is remote, providing flexibility while still requiring ...

AI/ML Engineer II

Phoenix, AZ ยท On-site +1

$113.70K - $136.50K/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 ...

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Remote Senior Machine Learning Engineer information

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Senior Machine Learning Engineer jobs? Cities in Arizona with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior IAM Cloud Engineer (Contract)

CornerStone Technology Talent Services

Phoenix, AZ โ€ข Remote

$103.80K - $142.50K/yr

Full-time, Contractor

Posted 18 days ago


Job description

A leading technology staffing firm is seeking a Senior IAM Cloud Engineer to strengthen and modernize their cloud security environment. This fully remote role requires expertise in managing digital identities and securing access, as well as experience in IAM solutions. Candidates should have a Bachelor's degree and 8-10 years of cloud security experience.

Strong knowledge of Azure AD, IAM tools, and security standards is essential. This is a full-time contract position offering competitive compensation. #J-18808-Ljbffr