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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Machine Learning Engineer[W2 ROLE] - **Company:** Hames Corporation - **Location:** Philadelphia, PA, United States - **Experience:** Experienced - **Salary:** $85,000.0 - $95,000.0 - **Contract:** Temporary to permanent - **Skills:** Clean Code Principles, .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Software Quality, Computer Programming, Decision Support Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Standard Sql, Software Construction, Software Engineering, SQL Databases, Feature Engineering, Snowflake, Apache Spark, Model Validation, Generative AI, Scikit Learn, Xgboost, Data Management, Machine Learning Operations, Software Version Control, Databricks - **Published:** July 18, 2026 - **Apply:** https://www.careerjet.com/jobad/us49e8090c8c5786782bf634577106d6bd ## About the Role * 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., * 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 ## Description 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., Join a dynamic team as a PhD Engineer specializing in Electrical, Mechanical, or Chemical disciplines, where your expertise will contribute to a high-impact customer project. This … + 22 days ago, As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by providing high-quality, real-world input that influences how models learn, reason, and perfo… + 29 days ago ## Related Videos - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)