A technology company specializing in ML solutions is seeking a Senior/Principal ML Systems Architect to design and implement a scalable architecture for machine learning. The successful candidate will bridge research and commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields.
Qualifications
Expert in ML frameworks like TensorFlow and ONNX.
Advanced Python programming for machine learning.
Proficient in performance optimization techniques.
Responsibilities
Architect the ML Solver Platform and define modular architecture.
Convert research code into robust services.
Optimize performance and scalability across deployments.
Skills
Expert in TensorFlow (TF2/Keras)
Advanced Python for ML
Proficiency in gRPC/Protobuf and REST
GPU acceleration (CUDA/cuDNN)
Metrics, tracing, structured logging
SBOM, image signing, role-based access
Tools
TensorFlow
ONNX Runtime
FastAPI
Job description
A technology company specializing in ML solutions is seeking a Senior/Principal ML Systems Architect to design and implement a scalable architecture for machine learning. The successful candidate will bridge research and commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across various fields.