Full-Time

ML Ops Engineer

Collibra

Collibra

1,001-5,000 employees

Cloud-based data governance and quality platform

Data & Analytics

$140,000 - $175,000

Equity Ownership, Bonus Potential

Junior

Raleigh, NC, USA

Required Skills
Kubernetes
Microsoft Azure
Python
Git
Java
Docker
AWS
Google Cloud Platform
Requirements
  • At least 2 years of expertise in cloud infrastructure and CI/CD in production environments
  • Proficiency in Kubernetes, Docker, Terraform, Grafana, Datadog, Jenkins, and Git
  • Deep experience with cloud infrastructure, particularly AWS or GCP
  • Familiarity with Java and Python
  • Experience with orchestration frameworks such as Kubeflow or Vertex Pipelines
  • Bachelor's degree or equivalent related working experience
  • US citizenship and residency on US soil
  • Passion for cloud engineering and continuous learning
  • Interest in Artificial Intelligence and willingness to learn from ML experts
  • Experience with FedRAMP cloud offerings support
Responsibilities
  • Maintaining, monitoring, and developing production MLaaS infrastructure across Cloud (AWS, GCP, Azure) and Edge environments
  • Building scalable infrastructure solutions to support the implementation of GenAI technologies and other AI/ML solutions
  • Architecting and optimizing complex build pipelines, ensuring alignment with best practices and CI/CD principles
  • Collaborating with cross-functional teams to architect ML CI/CD approaches and foster continuous improvement in MLOps/LLMOps practices
  • Keeping abreast of evolving MLOps/LLMOps trends and technologies to deliver scalable infrastructure for technical users

Collibra, a global leader in Data Intelligence, offers a unique blend of flexible governance, continuous quality, and built-in privacy to top-tier brands, setting it apart from competitors. With a culture that emphasizes trust and accessibility, Collibra fosters an environment where data is easy to find, understand, and use. Their commitment to transparency and integrity is evident in their proactive approach to potential recruitment fraud, ensuring a safe and fair hiring process for potential employees.

Company Stage

Series G

Total Funding

$596.5M

Headquarters

New York, New York

Founded

2008

Growth & Insights
Headcount

6 month growth

-8%

1 year growth

-9%

2 year growth

-6%
INACTIVE