Deep Learning Engineer | RD5003

Convai Technologies Inc.
Mountain View, CA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Training Data Artificial Intelligence Artificial Neural Networks Computer Programming Distributed Systems Python (Programming Language) Machine Learning Language Modeling Natural Language Processing Tensorflow Software Engineering System Software
+12 more
Speech Recognition Pytorch Large Language Models Deep Learning Information Technology ONNX (Open Neural Network Exchange) Format Data Management Triton Inference Server TensorRT Megatron GPT Data Pipelines

Requirements

Deep Learning, Content Development, Deep Learning, Algorithms, Artificial Intelligence (AI), Product Development, Modeling Languages, Training Data Sets, Data Management, Data Modeling, We seek a highly experienced Deep Learning Engineer who has worked extensively with Large Language Models. Your role will be to lead the development of generative AI products that incorporate these models to create advanced artificial characters. Responsibilities Using ML/AI algorithms to support content creation and provide clients with various feature support. Training, fine-tuning and deploying large transformer based models. Developing data pipelines for model datasets. Optimizing DL models for inference. Familiarity with batch size, precision modes, ONNX, Tensor parallel, Pipeline parallel is required. Skills Bachelor’s in Computer Science or any related technical field. Minimum 5+ years of experience in software development and 3+ years in ML and NLP - ideally with the latest transformer based models like GPT3, T5, etc. Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition. Strong programming knowledge in Python and various ML frameworks (Pytorch) Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software. Understanding of Nvidia SDKs like Triton Inference Server, Megatron, TensorRT, etc is an added bonus. How to Apply Does this role sound like a good fit? Fill out the details and we shall get back to you.

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