Exacare INC

Exacare INC

Machine Learning Engineer

New York, NY

Sponsorship not specifiedDetected 23 days ago
Machine LearningData EngineeringMLOpsResearchCommunication

About the role

  • We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems.
  • It is best suited for someone who is excited by the systems, tooling, and operational side of machine learning.

Responsibilities

  • We get there by deeply respecting and reflecting on our purpose: to develop software that aids teams in delivering better care.
  • We invest extra effort, care, and ownership into what we build.
  • We bring energy, support each other, and make the workplace somewhere people are excited to show up.
  • This is an engineering-focused role centered on building the workflows, infrastructure, and processes that enable ML to move from research into reliable production systems.
  • You will partner closely with research-oriented ML teammates and help turn their work into scalable, maintainable, and cost-effective production systems.
  • This includes building and improving data pipelines, training pipelines, deployment workflows, monitoring systems, and supporting infrastructure that allow the team to move faster and operate ML systems with confidence.
  • We work even harder to keep our partners than we did to earn them initially The work does not stop when a customer first onboards to our platform.

Requirements

  • This should be the best team you have ever been on.

Benefits

  • About ExaCare AI ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care.
  • We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare.
  • If you like building, learning, and want to make a real impact, come join us!
  • About the Role We are looking for a Machine Learning Engineer, MLOps to help operationalize and scale our machine learning systems.
  • We partner with operators, listening and learning about real problems, and translate that into solutions that help them succeed in practice.
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