Senior Machine Learning Engineer
Role details
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Requirements
Proven experience in MLOps, LLMOps, or related roles, with hands-on experience in managing machine/deep learning and large language model pipelines from development to deployment and monitoring. Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre. Hands-on experience developing or training transformer-based LLMs from scratch Deep familiarity with transformer architecture, training pipelines, and experimentation Help drive optimization, testing, and tooling to improve the quality of the ML deliverables. Proficiency in programming languages such as Python, distributed computing tools such as Ray, model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM. Strong understanding of Generative AI architectures and methods, such as chunking, vectorization, context-based retrieval and search, and working with Large Language Models like OpenAI GPT *******, Llama2, Llama3, Mistral, etc. 1+ years of experience as an ML/LLM engineer in public cloud platforms.