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MLOps Engineer

Company: Enolink
Location: Cambridge
Posted on: August 1, 2022

Job Description:

Enolink's mission is to bring the power of AI to healthcare to improve patient treatment, drug development, and healthcare systems for better healthcare outcomes. We're a diverse team of clinicians, machine learning experts, and engineers who believe that the future of healthcare and the future of AI and machine learning are deeply interconnected. We build platforms and solutions that help evolve healthcare delivery towards precision medicine, where an individual's care and treatment are uniquely tailored to that patient's history and situation.
Enolink is looking for an MLOps Engineer to be part of a global team that combines product design and engineering expertise with scientific and clinical expertise from top academic medical centers.
---Responsibilities

  • You will work at the intersection of machine learning, software engineering, and cloud architecture to identify which MLOps tools and best practices to build into our healthcare AI platform, empowering our data scientists to go from messy data to healthcare solutions reliably and repeatedly.
  • You will build ML Infrastructure using DevOps technologies like Kubernetes or Docker, to transform the way healthcare institutions use data and scale their impact.
  • You will deliver solutions across the entire machine learning development lifecycle, from data acquisition through solution deployment and monitoring.
    Qualifications
    • Prior experience in one or more of the following roles: DevOps Engineer, SRE, Platform Engineer, Infrastructure Engineer, Cloud Engineer, and/or Production Engineer.
    • Proficient at writing and reviewing code in Python.
    • Experience with cloud security and data privacy protection.
    • Experience with CI/CD tooling and best practices.
    • Experience with one or more cloud providers (AWS, Azure, and/or GCP).
    • A proponent of Infrastructure as Code (experience with Terraform or similar tools a plus).
    • A strong interest in creating data infrastructure solutions and for building AI/ML platforms.
      We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Keywords: Enolink, Cambridge , MLOps Engineer, Engineering , Cambridge, Massachusetts

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