We are not looking for formal degrees or certifications — what matters most is your ability to solve complex problems and demonstrate your skills through past projects, research work, designs, or GitHub contributions.
3+ years of industry experience as a Machine Learning Engineer, focusing on building data pipelines and developing/implementing ML models.
Proven ability to independently evaluate novel concepts and enhance existing ML projects, potentially contributing to published research papers.
Strong experience in exploratory research to improve data quality, particularly in audio and text-to-speech (TTS) domains.
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