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MLOps Engineer

Posted about 2 months agoInactiveViewed

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💎 Seniority level: Middle, 3+ years

🔍 Industry: Healthcare

🏢 Company: Paradigm Health👥 51-100💰 Private almost 4 years agoHospitalHealth Care

🗣️ Languages: English

⏳ Experience: 3+ years

Requirements:
  • 3+ years of experience working as an engineer, data scientist, or in a similar role, contributing to production-level infrastructure and tools.
  • Hands-on experience in designing, building, and maintaining data pipelines, understanding how to achieve scalability, reliability, and maintainability.
  • Excellent communication skills, with the ability to distill complex technical concepts to essential elements for both technical and non-technical audiences, with great enthusiasm.
  • Comfortable with ambiguity and capable of thriving in a mission-driven, fast-paced startup environment where innovation and adaptability are key.
Responsibilities:
  • Support the development of new product features and ML solutions, collecting technical requirements, evaluating emerging technologies, and when necessary, implementing minimal internal frameworks and libraries for codifying our task domain in composable units.
  • Develop and maintain CI/CD pipelines, ensuring reliable integration and deployment of machine learning models, shared libraries, and data processing tasks.
  • Implement and manage cloud-based solutions on AWS that support scalable data storage, compute resources, and orchestration of data science tasks.
  • Ensure compliance with data security, governance, and regulatory standards in collaboration with Data Engineering, Information Security and Developer Operations teams.
  • Monitor and troubleshoot platform-related issues, optimizing for data quality, throughput, service availability, resource allocation, and cost.
  • Support and train data scientists and machine learning engineers on platform tools and best practices, fostering collaboration and continuous learning.
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