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About This Role
\*\*\*THIS RECRUITMENT MAY CLOSE WITHOUT FURTHER NOTICE DEPENDING ON THE NUMBER OF APPLICATIONS RECEIVED. APPLICANTS ARE ENCOURAGED TO APPLY AS SOON AS POSSIBLE\*\*\*
Job Summary
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This recruitment is for an Admin Assistant 2\. The eligible list will be used to fill current and future vacancies in various locations and agencies across the State of Nevada. The Admin Assistant 2 provide administrative and/or program support in an assigned program, section, or division of an agency. Incumbents may serve in a generalist capacity and perform a variety of support duties, or they may perform program\-specific duties. \*\*\*THIS RECRUITMENT MAY CLOSE WITHOUT FURTHER NOTICE DEPENDING ON THE NUMBER OF APPLICATIONS RECEIVED. APPLICANTS ARE ENCOURAGED TO APPLY AS SOON AS POSSIBLE\*\*\*
Administrative Assistants perform a broad variety of clerical, secretarial and administrative support duties in an assigned agency, program or other work unit within State government and the Nevada System of Higher Education (NSHE). Typical duties include maintaining records and files; composing and editing correspondence; data entry; office management; budget monitoring and accounts maintenance; typing and word processing; answering telephones and relaying information; reception; duplicating and distributing materials; preparing for meetings and taking minutes; ordering and stocking supplies and equipment; receiving, sorting and delivering mail; reviewing and processing applications, forms and other documents; operating office equipment such as copiers, personal computers, computer terminals, calculators, facsimile machines, printers, and other equipment; and performing related duties as assigned.
Essential Qualifications
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PER EXECUTIVE ORDER 2026\-001, ALL MINIMUM QUALIFICATIONS HAVE BEEN WAIVED FOR THIS POSITION UNTIL JUNE 30, 2026\. Please refer to the link for more information: https://gov.nv.gov/Newsroom/ExecOrders/Executive\-Orders/
Graduation from high school or equivalent education and two years of clerical and administrative support experience which included experience in one or more of the following areas: maintaining records and files; preparing a variety of materials using a personal computer or word processor; assisting customers in completing forms and applications; and/or performing secretarial duties in support of professional staff; OR one year of experience as an Administrative Assistant I in Nevada State service; OR an equivalent combination of education and experience.
Job Duties
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Receive and process applications and requests for program services; review information provided and make initial eligibility determinations based on established criteria and requirements; contact applicants and various entities for additional information; receive appeals from ineligible applicants and refer to appropriate staff for response or disposition.
Supervise a unit of file clerks, data entry operators, unit clerks or switchboard operators who provide routine administrative support to the organization by maintaining records and files, entering data in computer equipment, and answering telephones and greeting visitors; organize and coordinate unit activities; train, supervise and evaluate the performance of assigned personnel; ensure work products meet established standards of quantity and quality.
Maintain financial records and track balances for general ledger groups and/or categories including operating, equipment, travel, and staff development; prepare accounts payable and receivable documents and assign accounting codes in compliance with established rules, regulations and procedures which may include contractual and grant limitations; reconcile internal records and reports to those of the Controller’s Office.
Receive, review, code and process a variety of clerical accounting documents including invoices, claims, billing forms and other materials used in the agency and/or program area to which assigned; ensure conformance to established formats, time frames and regulations.
Serve as the pay clerk for an agency; review timesheets for completeness, authorized signatures, correct calculation of hours, adequate leave balances, and attachment of required documentation; contact employees, supervisors and staff in the pay center regarding discrepancies and make necessary corrections; batch and enter data in a computerized payroll system; prepare time adjustment sheets as needed.
Assist management in budget preparation by reviewing and extracting historical accounting data and report findings; oversee and record specific budgetary expenses by line item and provide status reports.
Format, edit and produce a variety of complex materials such as brochures, newsletters, flyers, presentations, charts, graphs, instructional materials, medical/clinical transcription, non\-standard reports and other items using computer equipment and software; maintain complex databases and spreadsheets; convert documents for Internet usage and maintain Web hyperlinks as assigned.
Establish and maintain complex recordkeeping systems including indexed and cross\-referenced materials for the work unit considering confidentiality and accessibility of information and storage space available; release information upon receipt of properly executed consent agreements or court orders according to legal or regulatory requirements, and/or agency policies and procedures; develop purging and archiving procedures according to established records retention schedules.
Prepare and maintain property inventory records for a major work unit; assign identification tags; title agency vehicles as required by law; perform periodic physical inventory to reconcile agency records with those of State Purchasing; arrange for disposition of excess property according to policy.
Positions at this level provide administrative and/or program support in an assigned program, section, or division of an agency. Incumbents may serve in a generalist capacity and perform a variety of support duties or they may perform program\-specific duties. Assignments are varied, involving different and/or unrelated processes and methods that require evaluation of several alternative courses of action. The focus is on specific desired end products, and the incumbent has the latitude to select the most appropriate methods and tools to get the job done within established administrative guidelines, regulations, or instructions. Errors are not always subject to direct verification or checking, may result in lost efficiency due to repetition of work, and affect the accuracy, reliability, or acceptability of work products. Incumbents obtain and verify information from a variety of sources and provide information that requires explanation of a variety of regulations, requirements, and procedures. Positions at this level may or may not supervise lower level staff.
Knowledge, Skills, and Abilities
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*This job specification lists the major knowledge, skills and abilities of the job and is not all inclusive. Incumbent(s) will be expected to have knowledge, skills and abilities from a previous level.*
Working knowledge of: administrative support functions.
General knowledge of: financial and statistical recordkeeping methods.
Ability to: provide administrative support to agency/program staff and managers; apply complex agency and/or program regulations, requirements and policies to specific situations; receive, review and process a variety of documents according to established guidelines, policies, regulations and timelines; type, format and produce technical documents and/or medical/clinical transcription using a personal computer and appropriate word processing, spreadsheet and/or database management software; establish, organize and maintain complex filing systems including indexed and cross\-referenced materials; organize clerical assignments and establish appropriate timelines; communicate effectively both orally and in writing; arrange and schedule meetings and appointments; prepare agendas and take minutes at meetings; train and supervise subordinate staff as assigned; compile, organize and summarize data for inclusion in reports.
Recruiter Contact Information: Sonja Grass \- SonjaGrass@admin.nv.gov
The State of Nevada is an equal opportunity employer dedicated to building diverse, inclusive, and innovative work environments with employees who reflect our communities and enthusiastically serve them. All applicants are considered without regard to race, color, national origin, religion or belief, age, disability, sex, sexual orientation, gender identity or expression, pregnancy, domestic partnership, genetic information (GINA), or compensation and/or wages.
Please send direct Inquiries or correspondence to the recruiter listed on this announcement.
Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At State of Nevada, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
State of Nevada AI Hiring
State of Nevada has 2 open AI roles right now. They're hiring across AI/ML Engineer. Based in NV, US.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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