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Amazon Machine Learning Jobs in Arizona (NOW HIRING)

Deloitte

AI Solutions Architect

Tempe, AZ · On-site

$61.25 - $80.75/hr

... machine learning, deep learning, or generative artificial intelligence solutions in production environments • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft ...

Deloitte

AI Solutions Architect

Tempe, AZ

$60.25 - $79.50/hr

Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks * Ability to ...

Deloitte

Finance Analytics & AI Senior Consultant

Tempe, AZ · On-site

$111K/yr

Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP ...

Deloitte

Oracle AI Manager

Tempe, AZ · On-site

Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ... Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes ...

Deloitte

Lead Business Transformation Architect

Tempe, AZ

$53 - $72.50/hr

Qualifications Required: * 2+ years of experience with artificial intelligence or machine learning concepts and algorithms * 5+ years of experience with Amazon Web Services, Microsoft Azure, Google ...

Deloitte

Manager - Data Science / Data Lake

Tempe, AZ · On-site

... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...

Infosys

AI ML Engineer with LLM & AWS Integration

Tempe, AZ · On-site

$101K - $136K/yr

... Machine Learning|Generative AI Technical Skills 2 Technology|Cloud Platform|Amazon Webservices Managed Services Technical Skills 3 Technology|data science|PYTHON Technical Skills 4 Technology|Cloud ...

UVeye

CAD Engineer

Scottsdale, AZ · On-site

$60K - $80K/yr

... machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz ...

UVeye

CAD Engineer

Phoenix, AZ

$60K - $80K/yr

... machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz ...

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All JobsAmazon Machine Learning JobsAmazon Machine Learning Jobs in Arizona

Amazon Machine Learning information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do amazon machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for amazon machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are popular job titles related to Amazon Machine Learning jobs in Arizona? For Amazon Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Amazon Machine Learning jobs in Arizona look for? The top searched job categories for Amazon Machine Learning jobs in Arizona are:
Amazon Machine Learning jobs near you

Machine Learning Operations Engineer

Swarmbotics AI

Phoenix, AZ

$69K - $93K/yr

Full-time

Posted 8 days ago

Job description

Company Background:
SwarmboticsAI is pushing the frontier of advanced machine learning models and architectures on edge devices for swarms of unmanned ground vehicles (UGV). We see an urgent need for low-cost intelligent autonomous swarm UGV systems in the defense space. Our primary product is a defense application of swarm UGVs, collectively termed - Attritable, Networked, Tactical Swarm (ANTS). Each UGV in ANTS is an independently-tasked, attritable robot designed for on-demand and autonomous mobility. When operating as a swarm, ANTS is capable of executing advanced and coordinated high-level capabilities across multiple domains.
Stephen Houghton and Drew Watson are the Founders and have decades of experience in self-driving cars and trucks, humanoids, and UAVs with experience from NASA, JPL, Cruise, Embark, McKinsey, Amazon, and the CIA.
Position description:
SwarmboticsAI is seeking a highly skilled MLOps Engineer to design, build, and maintain the machine learning infrastructure that powers our autonomous swarm systems. This engineer will be responsible for creating robust, scalable ML pipelines that support our perception team's cutting-edge computer vision and deep learning models. You'll ensure seamless model training, deployment, and monitoring across our fleet of UGVs. This engineer will work closely with our ML/Perception team and company leadership to scale our ML capabilities across the SwarmboticsAI product roadmap.
What you'll do:
  • Design and implement end-to-end ML pipelines for training, validation, and deployment of perception models
  • Develop robust data management systems for large-scale sensor data (cameras, LiDAR, IMU) collected from field operations
  • Implement model monitoring, A/B testing, and performance tracking systems for deployed models
  • Build CI/CD pipelines for model versioning, testing, and deployment to vehicle fleets
  • Design distributed computing solutions for large-scale data processing and model training
  • Create tools for data annotation, model evaluation, and performance visualization
  • Work collaboratively with perception engineers, robotics teams, and field operations

Required qualifications:
  • Minimum 2 years industry experience in MLOps, DevOps, or ML infrastructure
  • Bachelor's degree in computer science, engineering, or related field
  • Strong experience with ML pipeline orchestration tools (Kubeflow, MLflow, or similar)
  • Proficiency in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
  • Strong Python programming and Linux system administration skills
  • Experience with model serving frameworks (TensorRT, ONNX Runtime, TorchServe)
  • Knowledge of data versioning and experiment tracking (Weights & Biases, Neptune, or similar)
  • Experience with monitoring and logging systems (Prometheus, Grafana, ELK stack)
  • Strong organization and communication to work well across teams in a fast-paced startup environment
  • Comfort working in the high-paced, fluid environment of a tech startup
  • Excitement about contributing to the defense of the United States and its allies
  • Must be eligible to work on export-controlled projects.
  • Ability to relocate to Phoenix, AZ area

Nice to have qualifications:
  • Masters degree in computer science, engineering, or related field
  • Experience with edge AI deployment and embedded systems optimization
  • Prior robotics or autonomous vehicle MLOps experience
  • Experience with real-time data streaming (Kafka, RabbitMQ)
  • Knowledge of security and compliance requirements for defense applications
  • Experience with multi-modal sensor data processing and fusion
  • Familiarity with ROS and robotics software stacks
  • Experience with a CatBs framework is preferred

The preceding description is not designed to be a complete list of all duties and responsibilities required for the position. Swarmbotics is an equal-opportunity employer. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, caste, creed, religion, sex, gender identity, sexual orientation, national origin, ancestry, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law.

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