Cloud AI Engineer
3 days ago
As an ML Engineer at Skyfall AI, you'll be responsible for deploying and optimizing large language models (LLMs) in production. This involves fine-tuning and RLHF-training LLMs, optimizing inference for cost and latency, and building scalable training pipelines using DeepSpeed, Accelerate, and Ray.
You'll work with our founding team, consisting of Maluuba founders who were previously pioneers in the deep learning revolution. They worked with AI pioneers such as Yoshua Bengio and Richard Sutton before being acquired by Microsoft for $160M and becoming Microsoft's AI research center in Canada.
Requirements- 3+ years of experience in ML engineering, model deployment, and large-scale training.
- Experience with vector databases (FAISS, Pinecone, Weaviate) for retrieval-augmented generation (RAG).
- Experience with multi-cloud ML deployment across AWS, GCP, and Azure.
- Hands-on experience deploying LLMs or similar large-scale models in a production setting.
- Expertise in multi-GPU training, model parallelism, and inference optimizations.
- Strong knowledge of ML system performance tuning, latency optimization, and cost reduction strategies.
- Experience in building and managing large-scale ML clusters across cloud or hybrid environments.
- Solid understanding of LLM fine-tuning techniques, RLHF, and model evaluation metrics.
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