Software Engineer, ML Engineering

Tasks

• Build data workflows
• Build model integration systems
• Build model serving and inference systems
• Collaborate with ML researchers to remove blockers
• Create automation tools for experimentation
• Design training pipelines
• Develop data collection curation and preprocessing systems
• Document systems and decisions
• Optimize data pipelines reliability performance and observability
• Perform code reviews
• Write well-tested production code

Perks/Benefits

• Flexible working hours
• Hands-on experience with cutting-edge technology
• Product-driven culture
• Professional growth
• Vacation policy

Skills/Tech-stack

C# | C++ | Containerization | Data Pipelines | Data Versioning | Distributed Training | Docker | Experiment tracking | GPU Computing | Go | Inference Optimization | Java | ML metadata | ML metadata management | MLOps | Metadata Management | Model Deployment | Model Serving | Observability | Orchestration | PyTorch | Python | Rust | TensorFlow