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About This Role
Saint Ignatius High School
About the Position: Saint Ignatius High School, a highly successful Jesuit college preparatory school for boys in Cleveland, Ohio, is seeking an experienced Executive Administrative Assistant to support the mission of Saint Ignatius High School by providing highly visible support to the President of the School and Vice President \- Ignatian Community \& Belonging. This person will act with little supervision, anticipating needs while managing the day\-to\-day workflow and prioritizing various projects, which include scheduling, contact management, preparing materials for meetings, and participating in a wide range of special projects. The ideal candidate will possess a warm, discerning customer service personality and bring the necessary skill set to perform, coordinate and oversee administrative duties while providing an extensive level of support to the President of the school and Vice President \- Ignatian Community and Belonging. This is a full\-time, 12\-month position working throughout the calendar year. As a Catholic School in the Jesuit tradition, Saint Ignatius has been educating "Men for Others" for over 130 years. The school is known locally, as well as nationally, as a leader in educational excellence. At graduation, students will be open to growth, intellectually competent, religious, loving, and committed to peace and justice.
Primary Areas of Responsibility: Maintain the President's schedule, including day\-to\-day and long\-term management of meetings, projects, and priorities Schedule all meetings and travel, including prioritizing meetings and communicating all relevant details to participants Balance conflicting priorities in order to manage workflow, ensure the completion of essential projects, and meet critical deadlines Reconcile and manage the President's office budget Ensure President is prepared for upcoming appointments by gathering materials necessary for each meeting Work with senior staff to collect and assemble information for board presentations, special projects and strategic planning Serve as the first point of contact for a wide variety of high\-level relationships between the President and external contacts Facilitate, build and monitor relationships including tracking contacts in database and managing follow\-up Handle phone, email and postal mail inquiries and respond appropriately Draft and edit correspondence, articles, reports and presentations; transcribe meeting notes Create a warm, professional, confidential environment and provide high quality service and assistance to all school community members including administrators, board members, students, parents, teachers, staff, and visitors to the President's office. Draft and prepare correspondence for internal announcements, board meetings, and organizations that the executive is involved with Commitment to excellence \- perform duties at the highest level possible on a consistent basis. Ability to function well in a high\-paced environment; performs additional duties as assigned by executives.
Qualifications: Associate's degree or equivalent, preferred Minimum of 10 years proven experience in an executive office setting; educational office experience preferred Excellent communication skills (oral and written) and knowledge of standard clerical procedures and office operations, including proper telephone and e\-mail etiquette Advance experience with various software applications, including but not limited to, Microsoft Word, Office, Excel, PowerPoint, Publisher, and Google Docs etc. experience with Blackbaud preferred Ability to demonstrate a high level of tact, discretion and diplomacy with all internal and external community members including high level maintenance of confidential/sensitive information. Skilled in aspects of planning and project management The successful candidate will also demonstrate the following: Project a positive demeanor regardless of changes in working conditions Proofread material and make necessary corrections; organize and prioritize work Ability to communicate effectively in oral, written and electronic formats Work independently and follow instructions to consistently meet deadlines Continually adapt and learn new procedures and methods of efficiency and new technology. Flexibility and willingness to embrace growth and change Willingness to engage in personal education and faith development Understanding, support and participation in the school's unique Jesuit identity and school mission Collaborative spirit, innovative approach, reflective in nature, positive and engaging energy The position offers a unique opportunity to the candidate who is willing to contribute significantly to sustaining a school where: The Catholic Faith is highly valued. People are believed in, honored and cared for. The natural talents and creative abilities of persons are recognized and celebrated. Individual contributions and accomplishments are appreciated. Everyone is treated fairly and justly. Sacrifice on behalf of the economically poor, the socially deprived, and the educationally disadvantaged is commonplace. Each person finds the challenge, encouragement and support needed to reach his fullest individual potential for excellence. We help one another and work together with enthusiasm and generosity, attempting to model concretely in word and action the ideals we uphold for our students and ourselves.
About Saint Ignatius High School: Saint Ignatius High School is a Jesuit college\-preparatory school with a Catholic tradition rooted in the Spiritual Exercises of St. Ignatius of Loyola. The school enrolls more than 1,400 students from 40 cities in a seven\-county region. These young men enrich one another through learning in the classroom, creating in the arts, competing on the athletic fields and serving those in need. Academically, Saint Ignatius is a regional and state leader in National Merit finalists. To challenge students and prepare them for college, the Saint Ignatius curriculum offers 17 Advanced Placement (AP) and 21 honors subjects. In September 2009, the school was designated a Blue Ribbon school by the U.S. Department of Education. A Saint Ignatius education prepares students to become competent, concerned and socially responsible members of their communities. With a motto of "Men for Others," there is a prime concern for the development of Christian values among all students. Part of the Saint Ignatius student experience includes the promotion of faith in the service of justice. Located in close proximity to downtown Cleveland in the historic Ohio City neighborhood, Saint Ignatius occupies 18\.5 acres with 18 buildings and three athletic fields. The faculty includes 109 members, 87 percent of whom have spent 10 years or more teaching at Saint Ignatius. Applicants with Disabilities As an equal opportunity employer, Saint Ignatius High School is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Title I of the Americans with Disabilities Act of 1990 (as amended), applicants that require accommodation in the job application process may contact Human Resources at 216\-651\-0222 for assistance. Hourly rate range $29\-$34 per hour, commensurate with experience Please visit our website and apply www.ignatius.edu
### Range
$29 — $34
Salary Context
This $60K-$70K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →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 Catholic Diocese of Cleveland, 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. This role's midpoint ($65K) sits 61% below the category median. Disclosed range: $60K to $70K.
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.
Catholic Diocese of Cleveland AI Hiring
Catholic Diocese of Cleveland has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Saint Ignatius, MT, US. Compensation range: $70K - $70K.
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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