Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, DevSecOps, Docker, Employee life cycle, ETL frameworks, GitLab, GoLang, Google Cloud Platform (GCP), GPUs, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming, Ruby on Rails, Terraform, Vue.js
This group is focused on enabling GitLab users to build and run data science workloads across GitLab’s AI-powered DevSecOps platform. This individual will play a key role in building features that aid in the expansion of GitLab’s core personas to address the needs of data science teams and will work cross-functionally with other GitLab stages to ensure our platform supports ML/AI workloads that align with our ModelOps product direction. This individual will be responsible for enhancing existing product features used by millions of users across the world.
Your role will be to build, scale, and iterate on ML features that help operationalize customers’ ML ( Both AI and Gen AI solutions ) and aid in dropping the costs of Machine Learning. You will balance short and long-term efforts from a feature perspective and work on backend machine learning enterprise feature challenges. With the team, you will be building the backbone of our ML efforts that solve the challenges of today and tomorrow for our customers building in the journey of ML.
Some examples:
What you will do
What you will bring
About the team
Today, data scientists piece together data, tooling, and frameworks to get bespoke data science workloads running and producing business value. Data scientists then hand off models to engineering teams to attempt to deploy them to production. These teams speak different languages, use different tools, and have completely different workflows. This makes it very difficult to deploy data science workloads to production, increasing time to value and costs. One of our primary goals for our ModelOps stage is to reduce the complexities of data science workloads and integrate these workloads to easily be managed and developed within GitLab.
How GitLab will support you
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
GitLab Inc. is an open-core company that provides GitLab, a DevOps software package that combines the ability to develop, secure, and operate software in a single application. The open source software project was created by Ukrainian developer Dmitriy Zaporozhets and Dutch developer Sytse Sijbrandij.