AI & Machine Learning Engineer at Certus Pest Inc
Tampa, FL 33614, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Nov, 25

Salary

140000.0

Posted On

24 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Marketing/Advertising/Sales

Description

WHY CERTUS:

At CERTUS, we’re building the leading platform for acquiring, growing, and integrating high-performing pest and home service companies across the U.S. As we scale, we’re investing in AI and machine learning to drive smarter, faster, and more profitable decisions across sales, operations, marketing, and customer care.
We’re not looking for theoretical AI. We want impact. From predictive scheduling to lead scoring, from route optimization to agent performance modeling — you’ll help us turn data into growth.

Responsibilities

ABOUT THE ROLE:

We’re hiring a mid-level AI & Machine Learning Engineer to help us solve high-value problems across our national field operations and sales teams. You’ll work cross-functionally with marketing, sales leadership, dispatch, customer care, and regional operators to build ML solutions that are deployed — and used — in the real world.
This role blends technical execution with a strong understanding of how AI drives measurable outcomes like revenue per appointment, jobs per day, and churn reduction.

KEY RESPONSIBILITIES:

Develop, train, and deploy models to:Score and prioritize inbound leads for sales agentsPredict appointment outcomes (no-shows, reschedules, close probability)Recommend optimal appointment windows and tech routineForecast technician capacity needs by region and seasonAnalyze agent talk tracks and performance using NLP on call transcriptsPartner with operations and sales teams to identify high-impact automation or prediction use casesPackage models for use via internal dashboards, APIs, or embedded toolsSupport continuous improvement by retraining and tuning models based on business feedbackTranslate field-level insights into data features and modeling opportunities
Requirements:
3–5 years of experience as a Machine Learning Engineer, Data Scientist, or similar roleStrong Python and SQL skills, with experience in Scikit-learn, XGBoost, TensorFlow, or PyTorchProven track record of production-level deployment of ML models (batch or real-time)Strong grasp of model performance metrics and business alignmentProficiency in reading, writing, and speaking EnglishExperience working with business stakeholders in Sales, Operations, or Customer ServiceKnowledge of cloud environments (GCP preferred), MLOps tools (MLflow, Vertex AI, or similar), and REST APIs

WHY THIS ROLE MATTERS AT CERTUS:

This role isn’t about building models for the sake of it. It’s about driving real operational leverage. With a national footprint, seasonal variability, and high-volume lead flow, AI isn’t optional — it’s how we scale smarter. You’ll work at the intersection of data, execution, and revenue — with a clear mandate to drive measurable impact and the autonomy to do it.

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