Noze

The Opportunity

Stratuscent has digitized the sense of smell. We’ve done for the nose what the camera did for the eyes and the microphone did for the ears. It took six years and some help from NASA but we did it. Now it’s time for us to bring it to the world.

People who succeed at Stratuscent have a sense of urgency, a ton of initiative, infinite curiosity, strong internal drive, and an enthusiasm for bleeding edge tech. If you’re bursting with fresh ideas and want to join a company in its journey to change the status quo, then this opportunity might be for you!

What you will do:

  • Lead the design and implementation of our MLOps pipeline through the entire ML lifecycle, from experimentation to deployment and model management;
  • Collaborate closely with our AI Research team to understand the current pain points in their workflow and help them adopt best practices and frameworks for orchestrated experimentation and development;
  • Create and develop CI/CD/CT Pipelines which allow for controlled and continuous enhancement of existing work and new features.
  • Support and work with cross-functional teams in an agile environment to seamlessly integrate our ML solutions into our broader IoT platform.

What you need:

  • A minimum of 3-5 years of experience in automation of CI/CD/CT pipelines for machine learning systems in production environments;
  • Solid understanding of new ML and MLOps strategies and their implementation on the cloud from data preparation to model management and deployment;
  • Cloud experience with one or more providers: GCP, Azure;
  • Solid understanding of various cloud components such as, networking, load balancers, security groups etc.;
  • Solid understanding of GitOps approach on Kubernetes: ArgoCD, Terraform, Manifests, Helms or similar tools;
  • Experience in open source model serving tools, such as KServe, Seldon-Core. etc.;
  • Experience in Data and Model Versioning and tracking;
  • Experience with scaling large production systems;

Who we are looking to hire

  • A self-starter who is comfortable with introducing best practices and taking the lead on the design, implementation and continuous improvement of cloud based MLOps pipelines;
  • A passionate and adaptable personality who is comfortable working in a startup environment with uncertainties, and takes initiative to own and be responsible for doing what needs to be done;
  • A machine learning enthusiast who follows the latest trends and best practices in productionizing scalable machine learning solutions.

We are going to rely on you to help us transition our ML solutions from the lab to the market. You would need a deep understanding of the nuances and challenges of machine learning lifecycle management, especially during deployment, post-production monitoring and continuous training.

What we offer:

  • Opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers;
  • Rewarding career path with diverse opportunities for professional growth;
  • Competitive compensation and benefits package including employer paid health and dental benefits;
  • Generous stock option package to participate in the success of building Stratuscent;
  • A bunch of other perks that involve food, fun and travel.