MLOps Engineer, Vianai
$140-180k
AI/ML tools for enterprise
Open for applications
AI/ML tools for enterprise
21-100 employees
Open for applications
$140-180k
21-100 employees
Company mission
To empower millions to build machine learning applications.
Role
Who you are
- BS or MS in Computer Science, Computer Engineering, or equivalent experience
- 3-5 years of MLOps experience developing and deploying ML pipelines
- 3-5 years of experience deploying ML models with cloud-based technologies like Azure/AWS/GCP
- 3-5 years of programming and scripting experience utilizing Python or Bash
- Track record of delivering scalable and reliable ML infrastructure components
- Strong written and verbal communication skills, including the ability to communicate with cross-functional teams
- Curiosity and passion for new, and innovative technology
What the job involves
- Develop and implement end-to-end Ops pipelines to support ML model deployment throughout the entire ML lifecycle
- Setup and drive CI/CD automation initiatives
- Monitor ML Ops systems and environments including cloud components utilizing Azure/AWS/GCP
- Utilize container-based tools such as Docker, Kubernetes, Terraform, and Pulumi to manage cloud services
- Communicate and present your work in a clear and simple manner with relationship skills and as a strong team player
Otta's take
Theo Margolius
COO of Otta
Vianai has released what it describes as a human-centered AI platform, which currently consists of two tools: the Vian H+AI MLOps Platform, which helps enterprise clients deploy and manage more ML models at scale; and Dealtale, a no-code platform helping marketing and sales teams use data science. The former was released in 2022, and the latter was an acquisition made in the same year, so Vianai has been picking up its pace of growth recently.
This is good timing. The appetite for more AI/ML action among top-tier businesses is, broadly speaking, on the up. While Vianai is tight-lipped about its client base, but the competitive advantage of handling and acting upon big data means Vianai should be looking at a strong market.
AI and ML, however, are still fairly loose categories - especially at the enterprise level. It means that products in this area can be tricky to market, and willing enterprises may nevertheless struggle to pull together enough compliant data to make the products valuable. Besides some hefty funding announcements, information about Vianai is fairly thin on the ground - so time will tell if they can get over these road bumps.
Insights
Few candidates hear
back within 2 weeks
3% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2022
$200m
LATE VC
Jun 2021
$140m
SERIES B
Total funding: $390m
Company benefits
- Provides you and your family members access to wonderful medical, dental, and more care
- Offers annual and spot bonuses and equity opportunities
- Learn and Share program
- Flexible and remote schedules
- Discounted health planning and gym memberships
Company HQ
Palo Alto, CA
Articles
Founders
Vishal Sikka
(CEO)A Stanford Computer Sciences grad, who went on to spend 17 years at SAP - first as EVP of Architecture, then as CTO. Subsequently spent time as MD of Infosys. Also serves on the board of the BMW Group and as an advisor to the Stanford Institute of Human-Centered AI.
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