Job Description:We are seeking an experienced ML Engineer with a minimum of 3 years of experience in Speech/NLP who is passionate about exploring and utilizing the latest developments in Conversational AI space. As a ML engineer, you will have the opportunity to build a high-quality production training pipeline and inference systems that impact our core business. All of our ML Engineers contribute to the full lifecycle of model development right from data preparation, model training to model serving and monitoring.Responsibilities:Utilize latest deep learning models to develop and improve our Conversational AI PlatformDevelop and deploy NLP/Speech related models in production environmentCollaborate with cross-functional teams to identify and solve business problemsEvaluate and optimize model performance through experimentation and analysisDevelop low latency inference pipelines by doing model optimisationsDevelop data labeling and augmentation techniques to improve model performanceStay up-to-date with the latest advancements in the field of Large Language models and share your knowledge with the team.Requirements:3-5 years of experience in NLP/Speech recognitionProficiency in Python, PyTorch, transformersExperience in developing and deploying NLP/Speech models in production environmentSolid understanding of transformer architectureSolid understanding of various model optimisation techniques like Quantization, TensorRT optimisations, ONNX etc.Strong analytical and problem-solving skillsExcellent communication and teamwork skillsBachelor's or Master's degree in Computer Science or a related field.Nice to Have:Prior experience in working on Large Language Models and Prompt EngineeringPrior experience or interest in solving Speech related problems like ASR, Speaker Diarization,VAD etc.
