MLOps Engineer

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September 10

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Diligent Robotics

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Healthcare Insurance • Artificial Intelligence • Robotics

Diligent Robotics is a company that pioneers in integrating robotics into healthcare settings to improve efficiency and patient care. Their flagship robot, Moxi, assists hospital staff by fetching medications, labs, and supplies, significantly reducing the time healthcare professionals spend on non-clinical tasks. Diligent Robotics focuses on enhancing clinical workflows, addressing staff shortages, and ensuring better patient experiences through their innovative robotic solutions.

2 - 10 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $30M Series B on 2022-04

📋 Description

• Analyze our current operational toolset for shortcomings and product improvements; provide and implement recommendations • Creating, configuring and maintaining cloud-based infrastructure and services for the rapid development and monitoring of complex robotics and analytics applications • Build tools to automate monitoring and management of robot fleets • Build tools to automate and improve ML Ops tooling and workflow • Build tools to automate and improve data workflows for ML training and simulation • Triage issues as they arise, both on robots and in deployed software • Automate common operations to allow Diligent’s robotic fleet to scale exponentially • Being an active member of the software engineering team, helping to improve the organization’s SDLC process and minimizing time from code-complete to production • Mentor engineers in SRE best practices and modern software engineering • Participate in On-Call rotation to maintain platform SLAs

🎯 Requirements

• Bachelor’s degree in Computer Science, related field, or equivalent experience • 5+ years of combined experience in MLOps, DevOps or Software Engineering or related technical roles • Deep experience in modern cloud infrastructure (AWS, Azure, GCP) especially managed ML/AI services • Experience with modern datastores at small to medium scale (Firestore, Redshift, Postgres, Mongo, distributed queues like Kafka, MosquittoMQ) • Experience automating system provisioning, configuration, and Infrastructure as Code (Terraform, Ansible, etc) • Management of hosting environment, including database administration and scaling an application to support load changes • Experience soliciting systems requirements, designing, and implementing new platform components leveraging infrastructure or SaaS services • Experience working with distributed, fault tolerant systems • Experience with converting monolithic applications to microservices and service discovery technology • Solid Linux skills • Proficiency in at least one high-level language (i.e. Python) • Experience working in an agile methodology development lifecycle • Occasional off-hours, on-call work required