Senior ML Engineer — Production Scoring & GenAI

Global Technical Talent, an Inc. 5000 Company; Philadelphia (Philadelphia County); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Global Technical Talent is seeking a Senior Machine Learning Engineer in Philadelphia, PA, onsite. The role provides $160,000 per year and requires right-to-work in the U.S.

You will build, validate, and deploy ML models for scoring, prediction, and decision support in a fast-moving environment. The candidate should have strong Python/SQL skills, hands-on production ML experience, and familiarity with Azure-based tools and modern ML platforms.

Qualifications

• 5 years of professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
• 3 years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
• 2 years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
• Nice-to-have experience with GenAI, LLMs, RAG, AI agents, prompt engineering, or AI-enabled workflow automation.

Responsibilities

• Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, and decision support.
• Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
• Develop practical 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.
• Implement predictive scores, risk tiers, score bands, thresholds, cut points, and intervention logic based on designs.
• Build transparent and interpretable models with explainability for business stakeholders.
• Document model logic, features, assumptions, limitations, and validation results for stakeholders.
• Partner with data engineering and platform teams to move models into production workflows.
• Expose models as well-documented services/APIs consumable by application teams; Azure-based integration is a plus.
• Operate in a rapid-build environment, turning rough concepts into working ML prototypes and production capabilities.

Skills

Python

SQL

Azure

Tools

Spark

Databricks

MLflow

scikit-learn

XGBoost

Job description

Global Technical Talent is seeking a Senior Machine Learning Engineer in Philadelphia, PA, onsite. The role provides $160,000 per year and requires right-to-work in the U.S.

You will build, validate, and deploy ML models for scoring, prediction, and decision support in a fast-moving environment. The candidate should have strong Python/SQL skills, hands-on production ML experience, and familiarity with Azure-based tools and modern ML platforms.