Senior ML Ops Engineer

• Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads.
• At least 2 years of professional software development experience in a role other than data engineering.
• Proficiency in Python and experience working with Kafka infrastructure and distributed data systems.
• Deep understanding of SQL and NoSQL databases (preferably Clickhouse).
• Familiarity with public cloud providers (AWS or Azure).
• Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design.
• Proven ability to make independent decisions regarding data processing strategy and architecture.
• Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment.

Nice to Have:

• Experience collaborating across ML, backend, and frontend teams.
• Understanding of machine learning fundamentals, including model training, inference, and frameworks such as PyTorch or TensorFlow.

What we offer:

• Fully remote position with flexible working hours.
• An inspiring team of colleagues spread all over the world.
• Pleasant, modern development and deployment workflows: ship early, ship often.
• High impact: lots of users, happy customers, high growth, and cutting-edge R&D.
• Flat organization, direct interaction with customer teams.

We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. 

Join us as we transform cybersecurity, user privacy, and machine learning online!

Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.