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Alignment Health एक स्वास्थ्य बीमा कंपनी है, जिसका उद्देश्य मेडिकेयर सदस्यों—विशेष रूप से वरिष्ठ नागरिकों, दीर्घकालिक स्वास्थ्य समस्याओं के साथ जीवन बिताने वाले लोगों और कमजोर स्वास्थ्य वाले व्यक्तियों—की देखभाल को बेहतर बनाना है। 2013 में स्थापित यह कंपनी व्यक्तिगत देखभाल मॉडल को प्रौद्योगिकी और चौबीसों घंटे उपलब्ध कंसीयर्ज देखभाल टीम के साथ जोड़ती है, ताकि विश्वसनीय स्थानीय प्रदाताओं के साथ सहायता का समन्वय किया जा सके। इसका कार्य स्वास्थ्य सेवा प्रदान करने और बीमा, दोनों क्षेत्रों में फैला है, जिसमें सदस्यों के लिए देखभाल को अधिक सुलभ, तत्पर और लागत-सचेत बनाने पर ध्यान दिया जाता है। Alignment Health एक बढ़ते हुए स्वास्थ्य सेवा संगठन में नियुक्तियां करती है, जो मेडिकेयर समुदायों की आवश्यकताओं को पूरा करता है।
Senior AI and Data Scientist
Architect production machine learning solutions for Alignment Health’s senior care platform. Lead healthcare analytics, model deployment, and technical mentorship.
विवरण
- Develop end-to-end AI and machine learning solutions for healthcare challenges such as risk stratification, clinical decision support, automated chart review, and fraud detection.
- Build production machine learning systems that process millions of healthcare transactions.
- Manage the machine learning lifecycle, from experimentation and validation to deployment, monitoring, drift detection, and ongoing improvement.
- Set up instrumentation, observability, alerts, and feedback loops to support model performance and reliability in production.
- Research and apply advanced deep learning, natural language processing and large language models, computer vision, and causal inference.
- Promote engineering practices that support code quality, testing, documentation, reuse, and maintainability.
- Work with Product, Clinical, Operations, and Compliance teams to find high-value AI opportunities.
- Explain technical concepts in business terms for executives and inform product and technology decisions.
- Guide data scientists through code reviews, architecture discussions, pair programming, presentations, and documentation.
- Interview technical candidates and demonstrate rigorous analysis and problem-solving practices.
आवश्यकताएँ
- Bring 5–8 years of experience delivering production data science or machine learning solutions with demonstrated business impact.
- Show a track record of designing complex machine learning systems from research through production deployment.
- Offer deep expertise in multiple machine learning domains and strong software engineering fundamentals.
- Have experience leading technical projects and mentoring data scientists.
- Hold a PhD in Computer Science, Machine Learning, Statistics, or a related field.
- Stay current with advances in machine learning and AI, healthcare analytics, and software engineering practices.
- Demonstrate expert proficiency in data science methods, workflows, and best practices.
- Bring advanced machine learning skills, including ensemble methods, deep learning, natural language processing, large language models, and computer vision.
- Apply strong statistical analysis and experimental design skills.
- Write production-quality, maintainable code using Python, Java, SQL, or PySpark at an expert level.
- Use advanced SQL and work with high-volume, high-dimensional healthcare data.
- Work with Databricks, Spark, Delta Lake, MLflow, Unity Catalog, and cloud platforms.
- Use Git workflows, CI/CD pipelines, Docker, and modern MLOps practices.
- Understand healthcare data and Medicare Advantage operations in depth.
- Communicate exceptionally well, translating technical complexity into business value.
- Create clear data visualizations and communicate findings through effective storytelling.
- No license is required.
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