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- 5+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., and hands-on experience with Python programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc.
- Understanding of key libraries used for LLM and RAG development: for NLP models development (e.g., NeMo, DeepSpeed, HuggingFace), for deployment (e.g., TensorRT-LLM, Triton Inference Server) for Information Retrieval (e.g., RAPIDS, Milvus, Pinecone, Open Search).
- Experience working with larger transformer-based architectures for NLP, CV, ASR, or others.
- Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts.
- Deep expertise in cloud-based AI services like OCI Data Science Platform, OCI AI Services, Oracle Digital Assistant, AWS AI Services or Azure AI Services
Expired 9 days agoInactive Job
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