Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Toronto, ON72k–139k $/an
Capgemini
5+ ansCandidates need 5+ years in machine learning or systems engineering, with 2+ years on production model inference. They must be strong in Python and PyTorch and have hands-on experience with an LLM serving framework.
PyTorch, vLLM, AWS Trainium, AWS Neuron SDK, TensorRT-LLM, SGLang
SRE-System & API Gateway Support Specialist
Toronto, ONCapgemini
Candidates need solid enterprise production support experience, hands-on API gateway knowledge, and strong troubleshooting skills with SSL/TLS, authentication and monitoring tools such as Splunk and Dynatrace. Strong written documentation and the ability to work across many technical teams are also required.
Splunk, Dynatrace, API gateway platform, IBM middleware