Senior Software Engineer - MLOps

Job Description

• Unifying ML system development and operations.
• Designing and building a robust pipeline for the entire ML lifecycle.
• Identifying opportunities to improve handling of structured and unstructured data.
• Promoting best practices for managing the ML lifecycle.

• Experience building reliable ML pipelines in production on AWS or other cloud providers.
• Understanding of a well-managed ML lifecycle, including model and data versioning, experiment tracking, feature store, CI/CD, and continuous training on NVIDIA GPUs.
• Mastery of Python and at least one other programming language (Java, Kotlin, Scala, Golang, Rust, C++ etc.).
• Mastery in model serving practices for batch and stream processing.
• Hands-on experience building and operating data lakes using big data frameworks or services (Spark, Kafka, Airflow, DBT, Debezium, AWS Athena, AWS Glue, Delta lake/ Iceberg etc.).
• Experience with Kubernetes, Docker, Terraform, or other cluster management solutions on AWS or other cloud providers.
• Deep understanding of computer science fundamentals and a solid background in software engineering.
• Basic knowledge of building ML models.
• Basic knowledge of model optimization and model export to multiple formats.

• Meaningful equity in a profitable tech startup.
• Budget for noise-cancelling headphones, home office setup, personal development, professional training, and health & wellness.
• Sponsored visits to the Hong Kong or London office every 2 years.
• Flexible working hours and location (EU timezone only).
• Medical insurance for you and your dependents.