Sr Machine Learning Engineer- ML Infrastructure & Data Platforms
Core
Build distributed data loaders, pipelines, and batch inference systems to support large-scale multimodal AI training and inference on GPU environments.
Role type
Senior Machine Learning Engineer (ML Infrastructure & Data Platforms)
Builds
Scalable data ingestion, transformation, and inference platforms for multimodal AI models.
Domain
Artificial Intelligence / Distributed Systems / Data Engineering
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Ray, Spark, Dask, AWS, Azure, MLOps, CI/CD, vector databases, embedding-based search
Preferred skills
Multimodal data processing (images, video, text), semantic search systems
Technologies
Ray, Spark, DuckDB, vector databases, embedding models
Responsibilities
Build distributed data loaders for large-scale training; Develop data pipelines for multimodal datasets; Design batch inference systems for high-volume GPU processing; Improve system performance and scalability; Implement search and retrieval systems; Develop and maintain CI/CD workflows; Create reusable tools and documentation; Monitor system health (throughput, latency, resource utilization).
Seniority
Senior, hands-on IC