Machine Learning Engineer

Robert half is seeking a highly specialized Machine Learning Engineer with hands-on experience working with Whisper, OpenAI’s speech-to-text model. This role will focus on fine-tuning and training Whisper to improve transcription accuracy and performance across multilingual datasets. Responsibilities: • Fine-tune and optimize Whisper for specific use cases and languages • Analyze model performance and identify areas for improvement • Collaborate with engineering teams to integrate Whisper into production workflows • Apply broader ML techniques to enhance speech recognition and translation pipelines • Recommend tools, frameworks, and best practices for scalable deployment Qualifications: • Proven experience with Whisper or similar speech-to-text models • Strong background in machine learning, deep learning, and NLP • Familiarity with audio processing and multilingual datasets • Ability to work independently and communicate findings clearly • Experience with Python, PyTorch, and ML frameworks preferred Required Skills: • Hands-on experience with Whisper • Machine learning and deep learning expertise • Proficiency in Python and PyTorch Preferred Skills: • Experience with audio processing • Familiarity with multilingual datasets