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ML Ops Engineer 2 - Remote

Posted 1 week ago

Overview

We are united in our mission to make a positive impact on healthcare. Join Us!

In Short

  • Hiring a driven ML Ops Engineer 2 to join our team focused on scalable ML Systems.
  • Collaborate with data scientists, engineers, and cross-functional teams.
  • Ensure seamless model deployment, monitoring, and automation.
  • Passionate about cloud infrastructure and optimizing ML pipelines.
  • Experience with deploying models in production using cloud platforms.
  • Set up scalable and fault-tolerant infrastructure for model training.
  • Implement monitoring systems to track model performance.
  • Collaborate with data engineering for seamless data flow.
  • Education: Bachelor’s or Master’s in Data Science or related field.
  • Join a fast-paced Healthcare IT company that is Modernizing Medicine.

Requirements

  • Experience with MLOps tools such as MLflow, Kubeflow, or Airflow.
  • Cloud expertise with AWS, GCP, or Azure.
  • Skilled in measuring and optimizing model performance.
  • Strong problem-solving skills and a positive attitude.
  • Ability to work collaboratively in a team environment.
  • Experience with real-time and batch data processing frameworks.
  • Knowledge of metrics like AUC, precision, recall, and F1-score.
  • Strong communication skills.
  • Ability to adapt in a fast-paced environment.
  • Passion for healthcare technology.

Benefits

  • Comprehensive benefits package including medical for you and your family.
  • 401(k) matching contributions.
  • Generous Paid Time Off and Paid Parental Leave programs.
  • Company paid Life and Disability benefits.
  • Professional development opportunities including tuition reimbursement.
  • Global presence and in-person collaboration opportunities.
  • Dog-friendly HQ and hybrid office-based roles.
  • Weekly catered breakfast and lunch.
  • Wellness rooms within our headquarters.
  • Community engagement opportunities with paid Voluntary Time Off.

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