Expert In Recruitment Solutions

Principal Machine Learning Engineer

Jacksonville, Florida, US

Role snapshot

Expert In Recruitment Solutions is hiring a Principal Machine Learning Engineer on a full-time basis. This is a role based in Jacksonville, Florida, US.

Company: Expert In Recruitment Solutions
Location: Jacksonville, Florida, US
Job type: Full-time
Experience: 3+ years
Posted: Nov 4, 2026

Who this role suits

Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.

How to prepare your application

Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
Be ready to discuss trade-offs and scope, not only the tools you have used.
Read what Expert In Recruitment Solutions publishes about its product or team, so you can say clearly why this role and this company.

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About the role

Job Description Job Description Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness.

Hands-On Model Development

Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.
Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.
Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.
Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.
Move quickly from data exploration to prototype to validated model to production-ready capability.

Required Qualifications

Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
5 years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
3 years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
Strong hands-on experience with Python and SQL.
Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.
Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.
Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.
Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.
Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.
Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.

Scoring, Scorecards, and Transparent Models
Production ML and MLOps
Product and Rapid-Build Execution
Generative AI and AI Automation
Requirement Shaping and Stakeholder Partnership