Machine Learning Platform Engineer

Tasks

• Build and operate machine learning infrastructure platforms
• Build evaluation benchmarking infrastructure for model quality and regressions
• Design model training evaluation deployment and inference systems
• Develop data preparation training evaluation and continuous improvement pipelines
• Enable rapid model experimentation evaluation and deployment with platform tooling
• Identify bottlenecks across the machine learning stack and improve performance
• Implement production observability monitoring tracing and alerting for AI workloads
• Improve reliability scalability latency throughput and cost efficiency
• Optimize model serving for high throughput low latency

Perks/Benefits

• N/A

Skills/Tech-stack

Alerting | Data Pipelines | Distributed Systems | GPU infrastructure | Inference | JAX | LLM | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Observability | PyTorch | Python | Retrieval-Augmented Generation | TensorRT-LLM | Tracing | VLLM | Vector Databases | Workflow Orchestration