Interested in this AI/ML Engineer role at Crestmont Capital Management LLC?
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Job Description
Employment Type: Full Time \-
Compensation: $16/hr \- $18/hr depending on level of experience, Competitive Pay The Service Technician is responsible for ensuring that apartment units and other property facilities are in good working order and turning units. This includes diagnosing and repairing air conditioning and heating units, electrical appliances and outlets, plumbing, carpentry, locks, and similar repairs. This position also follows a planned preventive maintenance schedule, turning units, and follows up with residents after repairs are completed. The Service Technician also assists others in related positions including assisting in preparing recently vacated apartment units for rent availability, landscape projects, and renovation projects. Painting and dry wall experience preferred.
ESSENTIAL DUTIES AND RESPONSIBILITIES Takes orders for service, prioritizes them, and handles each order in the most efficient manner. Examines and diagnoses problems with air conditioning units for individual apartment units or another property facility; determines the best method of repair or to replace all or part of the unit; makes repairs and/or replacements according to standard; performs maintenance on units such as replacing filters and cleaning coils. Repairs or replaces all or part of heating units in the same manner as air conditioning units. Repairs and replaces kitchen appliances such as refrigerators, stoves, washers and dryers. May contact an outside vendor in cases that exceed the Service Technician's skill level. Performs minor to moderate\-level plumbing repairs and replacement/installation including repairing leaks in toilets and sinks and unclogging toilets as requested. Repairs and replaces light fixtures and performs other minor electrical work. Repairs locks and other miscellaneous repairs on the assigned property. Basic Sheetrock repair work, May be assigned painting duties, including full interior painting of a unit or touch up work and repairs of walls and woodwork. May be assigned preparation, or make ready work to make recently vacated units available for renting. May perform swimming pool maintenance work or other duties to keep the property landscape in order. May be required to work on\-call, irregular hours (evenings, weekends) or overtime hours as needed. Performs other miscellaneous duties as assigned.
Required Skills Knowledge of heating and air conditioning unit repair and maintenance Basic knowledge of the repair and maintenance of other household appliances, plumbing, and lighting fixtures Ability to communicate with residents and co\-workers in a friendly manner to understand work to be done Ability to work in disagreeable conditions, both outside and inside, for extended periods of time Ability to lift weights of over 50 lbs. regularly Skill in using common and specialized tools efficiently to make repairs and perform maintenance duties Required Experience One year of experience in performing mechanical repairs and maintenance of home\-related mechanical equipment. This should include a background in the repair and maintenance of heating and air conditioning units. Ability to read and understand written instructions. An EPA Type II or universal certification is preferred but not required. A CPO/pool certification with knowledge of pool maintenance required or an ability to acquire it upon the business needs of the property. Must possess a valid driver's license
SPECIAL REQUIREMENT Required to live within 30 miles of the property. Required to furnish basic work tools.
Bilingual a plus Visit Leasing Office at Property to apply or application can be emailed to you. Drug Free Workplace
- Principals only. Recruiters, please don't contact this job poster.
- do NOT contact us with unsolicited services or offers
Job Type: Full\-time
Salary: $16\.00 to $17\.00 /hour
Job Type: Full\-time
Pay: $16\.00 \- $18\.00 per hour
Work Location: In person
Salary Context
This $33K-$37K range is in the lower quartile 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 Crestmont Capital Management LLC, 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 in Demand for This Role
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 ($35K) sits 79% below the category median. Disclosed range: $33K to $37K.
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.
Crestmont Capital Management LLC AI Hiring
Crestmont Capital Management LLC has 2 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Gastonia, NC, US, Spartanburg, SC, US. Compensation range: $37K - $41K.
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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