ML Ops Engineer 2 - Remote

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.