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Anomaly Detection Jobs in Arizona (NOW HIRING)

This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large ...

Architect anomaly detection and statistical monitoring: Develop, tune, and operationalize advanced detection methods (statistical and ML-based anomaly detection) and the reusable macros / wrappers ...

Utilize engineering standards (CI/CD, version control) when implementing DQ checks and introduce advanced methods such as automated anomaly detection. * Collaborates with reporting, analytics, and ...

Strong understanding of AI, machine learning, anomaly detection, behavioral analytics, LLMs, AI agents, RAG architectures, and automated investigation workflows. Ability to translate AI capabilities ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... count checks, anomaly detection) Company : EITACIES Inc., established in 2008, is a globally integrated IT services provider and a pioneer in delivering cutting-edge solutions in Digital ...

Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics * Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring ...

Lead AWS FinOps Analyst

Tempe, AZ · Hybrid

$69K - $90K/yr

Intelligent anomaly detection * Optimization recommendations * Natural-language insights * Executive reporting automation * Decision-support solutions * AI Cost Visibility & Token Economics ...

Deep experience in analytics, anomaly detection, and data-driven problem solving, with the ability to translate complexity into measurable outcomes * Hands-On Technologist: Strong in Python and SQL ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Establish quality SLAs, validation rules, profiling, and automated anomaly detection. * Instrument pipelines for cost, performance, and reliability (e.g., Snowflake resource monitors, Fabric ...

Staff-Software Engineer

Phoenix, AZ · On-site

$144K - $256K/yr

Improve operational decision-making through predictive analytics, anomaly detection, and intelligent event correlation. * Advance the organization's journey toward autonomous operations while ...

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Showing results 1-20

Anomaly Detection information

What is anomaly detection?

An Anomaly Detection job involves identifying unusual patterns or deviations in data that do not conform to expected behavior. Professionals in this role use statistical methods, machine learning, and AI techniques to detect fraudulent activities, network intrusions, or system failures. They work in various industries such as finance, cybersecurity, healthcare, and manufacturing. Responsibilities may include data preprocessing, model training, and real-time anomaly detection to improve security and operational efficiency.

What does someone working in anomaly detection do?

Professionals in Anomaly Detection typically spend their days analyzing large datasets to identify unusual patterns or behaviors that could indicate errors, fraud, or other significant events. They build and maintain models using statistical techniques and machine learning algorithms, validate detected anomalies, and collaborate closely with data engineers, cybersecurity teams, or business analysts depending on the industry. Regular reporting of findings, tuning detection systems for accuracy, and staying updated with emerging methodologies are also important aspects of the job. The role often requires working both independently and as part of a multidisciplinary team to ensure timely and actionable insights are delivered.

What are the key skills and qualifications needed to thrive in anomaly detection?

To thrive in an Anomaly Detection role, you need a strong background in data analysis, statistics, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, and experience using data analysis tools such as TensorFlow, Scikit-learn, or specialized anomaly detection frameworks, are typically required. Strong problem-solving skills, attention to detail, and effective communication enhance your ability to interpret findings and share insights with cross-functional teams. These skills are essential for accurately identifying unusual patterns in data and contributing to an organization's data-driven decision-making processes.

What are the most commonly searched types of Anomaly Detection jobs in Arizona?

The most popular types of Anomaly Detection jobs in Arizona are:

What are popular job titles related to Anomaly Detection jobs in Arizona?

For Anomaly Detection jobs in Arizona, the most frequently searched job titles are:

Infographic showing various Anomaly Detection job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI/ML Engineer

Redolent, Inc.

Phoenix, AZ • On-site

Contractor

Re-posted 7 days ago


Job description

Job Title: AI/ML Engineer
Location: Phoenix, AZ
Experience Level: 8+ years
Rate:
Job Description:
We are seeking a highly skilled AI/ML Engineer to join our team. The ideal candidate will have extensive experience in designing and developing machine learning algorithms and deep learning applications, particularly for observability data (AIOps). This role requires hands-on experience with time series forecasting, anomaly detection, event classification, and correlation ML algorithms. Additionally, experience in integrating with large language models (LLMs) for effective summarization is essential.
Key Responsibilities:
  • Design and develop machine learning algorithms for time series forecasting, anomaly detection, event classification, and correlation.
  • Develop and implement deep learning applications and systems for observability data (AIOps).
  • Integrate with large language models (LLMs) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
  • Implement MCP client and server within the Grafana ecosystem or similar platforms.
  • Collaborate with cross-functional teams to ensure seamless integration and deployment of ML models.
  • Lead and mentor a team of engineers, both onshore and offshore.

Required Skills and Experience:
  • Programming Languages: Proficiency in Python and R.
  • ML Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
  • Cloud Platforms: Working knowledge of Google Cloud and Azure.
  • Front-End Frameworks/Libraries: Experience with React, Angular, Vue.js, and jQuery.
  • Design Tools: Proficiency in Figma, Adobe XD, or Sketch.
  • Databases: Knowledge of MySQL, MongoDB, and PostgreSQL.
  • Server-Side Languages: Familiarity with Python, Node.js, and Java.
  • Version Control: Experience with Git and other version control systems.
  • Testing: Knowledge of testing frameworks and methodologies.
  • Agile Development: Experience with agile development methodologies.
  • Communication and Collaboration: Strong communication and collaboration skills.

Preferred Qualifications:
  • Experience in AIOps and handling observability data.
  • Proven track record of leading and mentoring engineering teams.
  • Strong problem-solving skills and the ability to work in a fast-paced environment

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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