MLOps Engineer

Intuitive, a medical device company, develops, manufactures, and markets robotic products designed to improve clinical outcomes of patients through minimally invasive surgery, most notably with the da Vinci Surgical System.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let’s advance the world of minimally invasive care.

You will be a part of a small team working on high impact tasks with multiple stakeholders.  You’ll take the lead on ‘MLOps’, defining and delivering the tooling and infrastructure that will make Machine Learning at Intuitive Surgical simple and effective. You’ll need to strike a balance between flexibility for different users and the need for standards and best practices; and find ways to make the platform responsive to changing requirements and emerging capabilities. You’ll keep up with the latest relevant technologies, participate in user and special interest groups, and understand trends and opportunities.

Required Knowledge, Skills, and Experience:

  • 3+ years of relevant software engineering experience with proficiency in Python in a data-focused role
  • Prior MLOps experience using popular MLOps frameworks like Kubeflow, MLFlow, Pachyderm, Flyte, Michelangelo…
  • Solid understanding and experience of Machine Learning through its full life cycle
  • Solid understanding of Machine Learning Frameworks (Tensorflow, PyTorch, scikit-learn)
  • Hands-on experience of MLOps Processes (Distributed Training, Model Evaluation, Hyper Parameter Optimization, Model Performance Visualization, Inference, Model Serving, Model Version Control, Data Version Control)
  • 3+ years experience with Kubernetes & Docker
  • Strong expertise in Dockerizing ML Applications
  • Strong expertise in Deploying CI/CD Pipelines
  • Prior experience shipping scalable data solutions in the cloud, preferably AWS
  • Good understanding of networking and security protocols, both on-premise and cloud
  • Excellent verbal and written communication skills (Hebrew and English)
  • Proactive problem-solving ability, comfortable with ambiguity
  • Great storytelling ability, who can tailor content and complexity to their audiences
  • Ability to readily build productive alliances and manage complex stakeholder relationships
  • Experience with the following is a bonus:
  • AWS Services, especially EKS, ECS-Fargate & Auto-Scaling using Spot instances
  • SQL, NoSQL, Document, Time-Series & Distributed Databases
  • Spark/PySpark
  • Web UI development (node.js, react, Flask…)
  • Technology Change Management experience
  • Data, Data Science and Machine Learning Policy and Strategy

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