Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Reads like a ML Engineer role: putting models into production.
Chandler, Arizona, United States
Open 5 months, first seen by us 155 days agoEmployment type in the employer’s posting: ContractFrom the employer’s posting
Design and build generative AI solutions such as chatbots and AI assistants
Build and optimize classification, regression, and time series forecasting models
Develop end-to-end ML pipelines and support deployment into production
Monitor, maintain, and improve model performance and reliability
Turn structured and unstructured data into actionable insights
Design, develop, and implement Generative AI solutions including chatbots and AI assistants.
Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting.
Develop end-to-end ML pipelines and support deployment of models into production environments.
Monitor, maintain, and improve model performance and reliability.
Work with structured and unstructured datasets to derive actionable insights.
5+ years of experience in Data Science, Machine Learning, or AI-related roles
Strong experience in Generative AI and Large Language Model (LLM) applications.
Hands-on experience with LangChain or similar AI orchestration frameworks.
Experience with ML Ops practices and deploying machine learning models into production.
Proficiency in Python and common data science libraries/frameworks.
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,442 similar postings that came down. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Job Title: Data Scientist / Senior Data Scientist Job Description: We are seeking a highly skilled Data Scientist with strong experience in Generative AI, traditional Machine Learning, and ML Ops. The ideal candidate will have hands-on expertise in developing AI-driven solutions, building predictive models, and deploying scalable machine learning applications into production environments. Key Responsibilities: Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work with frameworks such as LangChain and related LLM orchestration tools. Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. Develop end-to-end ML pipelines and support deployment of models into production environments. Collaborate with cross-functional teams to identify business problems and translate them into scalable AI/ML solutions. Monitor, maintain, and improve model performance and reliability. Work with structured and unstructured datasets to derive actionable insights. Required Skills: Strong experience in Generative AI and Large Language Model (LLM) applications. Hands-on experience with LangChain or similar AI orchestration frameworks. Solid understanding of Machine Learning concepts including: Predictive Modeling Classification Regression Time Series Analysis Experience with ML Ops practices and deploying machine learning models into production. Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms and modern AI/ML toolsets. Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with Databricks is a plus. Familiarity with cloud-based AI/ML environments. Experience working in enterprise-scale AI initiatives. Experience Required: 5+ years of experience in Data Science, Machine Learning, or AI-related roles.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Chandler, Arizona, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.