ML Ops Engineer
Israel
Engineering – Enterprise /
Full-time /
Hybrid
We’re looking for a strong ML engineer to join our team and help lead the development of our ML infrastructure. If you’re passionate about ML, Python and high-scale big-data environments, come join the team!
What you'll do:
- Lead the development of our ML Ops infrastructure, creating processes that support ML projects in the company from their development phase until their deployment to production and beyond
- Build and support an infrastructure for real-time model inference at scale, serving billions of requests each day.
- Implement data-based processes and solutions processing massive amounts of data as part of our ML pipelines.
- Work closely with our data scientists to deliver new projects, define processes and coding standards and gather requirements to further develop our infra.
- Design and implement pipelines integrating ML models and prediction results into our core products.
- Be the go-to person for any Python or ML Ops related question or idea, being a focal point for both our Research and engineering teams.
Who you are:
- 5+ years of backend development in Python.
- Has experience developing ML Ops processes or supporting ML models in production.
- Experienced with big-data, high-scale environments.
- Familiar with cloud vendors concepts and tools, preferably working on top of one in prior positions.
- Team player with good verbal and written communication skills.
- Passionate about technology, fast learner and eager to lead and take ownership of big projects end-to-end.
- Prior experience working with GCP - advantage.
- Experience with Vertex AI and Kubeflow pipelines - advantage.
