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Manager Remote Machine Learning Engineer Jobs in Arizona

Staff / Principal AI Engineer

Gilbert, AZ ยท On-site +1

$170K - $190K/yr

Lead the design, development, and deployment of scalable AI and machine learning solutions across ... Evaluate and implement approaches for prompt engineering, context management, embeddings, retrieval ...

Remote will be considered HOW YOU'LL SPEND YOUR TIME * Lead the Design, develop, and deploy ... management of machine learning models. * Proven ability to translate innovative ideas into ...

Senior AI/ML Engineer

Phoenix, AZ ยท On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with computer vision , machine learning , or data-centric AI projects - especially where ...

AI-ML Engineer 1

Tucson, AZ ยท On-site +1

$110K - $132K/yr

Design and develop scalable AI solutions using machine learning models and tools * Ensure the ... Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C ...

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 ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... At least 5 years specifically focused on Data Engineering, Analytics, or Machine Learning. * Cloud ...

Data Engineer AI

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory ...

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Manager Remote Machine Learning Engineer information

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Arizona? The most popular types of Remote Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Arizona? For Manager Remote Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Manager Remote Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Arizona with the most Manager Remote Machine Learning Engineer job openings:
Infographic showing various Manager Remote Machine Learning Engineer job openings in Arizona as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Chandler, AZ โ€ข On-site, Remote

$55 - $73.25/hr

Full-time

Posted 22 days ago


Job description

AI Engineer โ€“ GenAI, MLOps & Cloud Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise AI solutions. This role emphasizes building intelligent systems using modern ML, GenAI, and cloud-native technologies.

Key Responsibilities:

  • Develop and operationalize machine learning and GenAI models
  • Build scalable data and model pipelines using cloud technologies
  • Partner with cross-functional teams to deliver AI-driven insights
  • Ensure scalability, performance, and governance of AI systems

Required Skills:

  • Hands-on experience in ML engineering, MLOps, and model lifecycle management
  • Strong programming skills in Python and ML frameworks
  • Experience with cloud ecosystems (AWS, Azure, GCP)
  • Knowledge of distributed data processing and integration

Nice to Have / Coverage:

  • Experience with Databricks, Snowflake, or BigQuery for data engineering workflows
  • Familiarity with LangChain and agent-based AI systems
  • Exposure to enterprise AI governance and compliance standards
  • Experience collaborating with cloud/data platform architects

For more details reach at resumes@navitassols.com.