Senior ML Ops Engineer
Intuition Machines
SeniorAbout the position
Join a team focused on building enterprise security products using AI/ML. Help shape and expand data pipelines to support research and product development.
Tech stack
- python
- kafka
- sql
- nosql
- kubernetes
- aws
- azure
Requirements
Required:
- 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)
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
Responsibilities
- Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data
- Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand
- Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform
- Reduce time-to-deployment for dashboards and ML models
Benefits
- 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