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Principal Machine Learning Engineer[W2 ROLE]SmartIPlace • Philadelphia, PA, United States
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Principal Machine Learning Engineer[W2 ROLE]

Principal Machine Learning Engineer[W2 ROLE]

SmartIPlace • Philadelphia, PA, United States
10 days ago
Job type
  • Temporary
  • Quick Apply
Job description
Title: Principal Machine Learning Engineer

Location: Philadelphia, PA (Hybrid Onsite Tuesdays & Wednesdays)
Duration: 6+ Months Contract-to-Hire
Employment Type: W2
Work Authorization: Must be authorized to work in the U.S.

Job Summary

Medical Guardian is seeking a Principal Machine Learning Engineer to lead the design, development, deployment, and optimization of machine learning solutions supporting predictive analytics, scoring, decision intelligence, and AI-driven automation. This is a hands-on technical leadership role focused on building production-ready ML models while partnering with stakeholders to solve complex business problems.

Key Responsibilities
  • Design, build, validate, and deploy machine learning models for prediction, scoring, risk detection, prioritization, and decision support.
  • Perform exploratory data analysis (EDA), feature engineering, model training, tuning, validation, and performance evaluation.
  • Develop scalable ML pipelines using Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, and similar technologies.
  • Build reusable feature engineering frameworks and model-ready datasets.
  • Monitor production models for performance, drift, calibration, retraining, and lifecycle management.
  • Collaborate with business and technical stakeholders to translate business challenges into ML solutions.
  • Ensure models are explainable, maintainable, and production-ready.
  • Follow software engineering best practices including version control, testing, documentation, and code quality.
  • Provide technical leadership and guidance on AI/ML best practices and model design.
Required Qualifications
  • 5+ years of hands-on experience in machine learning model development.
  • 3+ years of experience deploying and supporting machine learning models in production environments.
  • Strong programming experience with Python and SQL.
  • Experience with Databricks, Apache Spark, MLflow, Snowflake, Azure, AWS, or similar cloud/data platforms.
  • Strong understanding of feature engineering, model evaluation, model monitoring, drift detection, calibration, thresholding, and retraining.
  • Experience developing predictive models, scorecards, and decision-support systems.
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Strong software engineering practices including testing, documentation, reproducibility, and maintainable code.
Preferred Qualifications
  • Experience with Generative AI and AI automation.
  • Knowledge of MLOps and production machine learning lifecycle management.
  • Experience with explainable AI (XAI) and transparent modeling techniques.
  • Background in predictive analytics, customer engagement, or risk modeling.
  • Experience working in Agile environments.
Required Skills
  • Machine Learning
  • Python
  • SQL
  • Databricks
  • Apache Spark
  • MLflow
  • scikit-learn
  • XGBoost
  • Snowflake
  • Azure / AWS
  • Feature Engineering
  • Predictive Modeling
  • Model Deployment
  • MLOps
  • Generative AI
  • AI Automation
  • Model Monitoring
  • Stakeholder Management
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Principal Machine Learning Engineer[W2 ROLE] • Philadelphia, PA, United States

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