Machine Learning Operations Engineer III (NLP)

Posted 6 Days Ago
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Bangalore, Bengaluru, Karnataka
3-5 Years Experience
Artificial Intelligence • Healthtech • Software
The Role
Build enterprise-grade Cloud infrastructure, automate GCP tasks and Kubernetes deployments, resolve support tickets, design scalable microservices deployments, provision networking, participate in on-call support, and be a dynamic technical resource in a startup environment.
Summary Generated by Built In

What we want to accomplish and why we need you

Suki is creating a new category in the health-tech space: the digital assistant. Our product will be the voice user interface for healthcare. What does that mean? Currently, doctors use electronic health record systems to take notes on patient encounters. This is a digital version of the paper charts that you may have seen in your doctor’s office or on TV. These systems can be hard to navigate and time-consuming to manage. Doctors would rather spend that time with patients. We are creating the solution. Doctors that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctor. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. Check out this short video to learn more about our mission and our culture.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, GraphQL, Git, CloudBuild, Jenkins, ArgoCD, Helm and Bash

What you will do every day

  • Build enterprise-grade Cloud infrastructure for business needs, primarily with GCP products.
  • Create Cloud standards and best practices for high availability & reliability business needs.
  • Use Terraform and Helm to automate GCP tasks and Kubernetes deployments
  • Direct, handle and resolve support tickets related to business requirements in GCP
  • Work closely with developers to design highly available and scalable deployments of microservices.
  • Provision GCP networking, VPCs and VPN connections.
  • Build fully automated CI/CD processes using Gitflow, Google cloudbuild & Argocd.
  • Be part of an on-call rotation to support production systems.
  • Be a creative and dynamic cross-functional technical resource with the endurance for a fast-paced start-up environment.

Ok, you're sold, but what are we looking for in the perfect candidate?

  • GCP Professional and Specialty Certifications with 3+ years of experience.
  • Proficient in a programming or scripting language like GoLang or Python
  • 3-8 years of Kubernetes experience managing cloud-native, container-based applications with microservice architecture.
  • Understanding of infrastructure as code, ideally solid experience with Terraform.
  • DB administration experience including both relational schema design and non-relation architectures along with SQL optimization.
  • Proficient in CI/CD tooling and automation capabilities using CloudBuild, Jenkins or similar automation platforms.
  • Excellent debugging, problem solving and analytical skills.
  • Experience with developing and maintaining Helm Charts.
  • Solid linux administration skills.

Qualifications: 

  • BS in Computer Science, Information Systems, Computer Engineering or equivalent experience.
  • 3-8 years of experience in software development, preferably in DevOps/SRE
  • Extensive cloud deployment/systems experience, preferably with GCP.
  • You are experienced in setting up CI/CD pipelines for microservices using CloudBuild, Helm, ArgoCD.
  • You have Strong understanding of networking, DNS, HTTP and Restful services.
  • You are organized, self-driven, capable and willing to resolve issues from L1-L3 as needed.

Working at Suki:
Our hybrid model offers the perfect balance of in-office collaboration and remote flexibility which includes three days in the office (Monday, Tuesday and Wednesday) and two days work from home (Thursday and Friday).The role is located in Bangalore and will require working from office three days a week.

Tell me more about Suki

  • On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
  • Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
  • Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital , and others. With our $55M Series C financing, we have the resources to scale.
  • Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
  • Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
  • Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.


Top Skills

Go
Python
The Company
HQ: Redwood City, CA
114 Employees
On-site Workplace
Year Founded: 2017

What We Do

Suki is a leading technology company that provides AI-powered voice solutions for healthcare. Its mission is to reimagine the healthcare tech stack, making it invisible and assistive to lift the administrative burden from physicians.

Its flagship product is Suki Assistant, an AI-powered, voice enabled digital assistant that helps physicians complete documentation and other administrative tasks 76% faster on average.

Suki also offers its proprietary voice platform, Suki Speech Platform, to partners who want to create a best-in-class voice experience for their solutions. Suki Speech Platform uses the latest in natural language processing and machine learning to provide industry-leading accuracy and natural and fast voice experience.

Suki is backed by premier investors such as Venrock, First Round, March Capital, Flare Capital Partners, and Breyer Capital.

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