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AI Engineer (Whisper,MLOps,Fine Tuning) at FusionHit. FusionHit is seeking an experienced AI Engineer to join our dynamic team and take ownership of a high-impact project. This role involves self-hosting and fine-tuning OpenAI’s Whisper model (ideally WhisperX) for transcription and ambient listening use cases. You’ll also establish a robust MLOps pipeline for model retraining and deployment in a production environment.. The ideal candidate is a hands-on ML practitioner with a deep understanding of speech-to-text systems and cloud infrastructure. This is a mission-critical role with high visibility, where you'll help deliver a scalable, production-grade AI solution by year-end.. Location:. Must reside and have work authorization in Latin America. . This is a freelancing opportunity.. Availability:. Must be available to work with significant overlap with Mountain Standard Time (MST).. The Ideal Candidate Has:. . BS/MS in Computer Science, Machine Learning, or related field with 5+ years of experience in AI/ML engineering. . . Deep experience with speech-to-text models such as Whisper or WhisperX. . . Proven expertise in fine-tuning ML models with labeled datasets. . . Strong experience in MLOps using tools like MLflow, Kubeflow, or similar frameworks. . . Hands-on experience deploying models on Azure (self-hosted, not managed services). . . Proficiency in Python and ML libraries like PyTorch or TensorFlow. . . Experience working with audio datasets and preprocessing techniques. . . Familiarity with prompt engineering related to speech-based AI solutions. . . Excellent communication skills in English (C1 preferred, strong B2 may be considered). . . Key Responsibilities:. . Fine-tune Whisper/WhisperX models for transcription and ambient listening tasks. . . Deploy self-hosted Whisper models on Azure cloud infrastructure. . . Design and implement an MLOps pipeline to support iterative training and deployment. . . Ensure high data quality using existing audio + transcript datasets. . . Collaborate on prompt engineering strategies for speech recognition improvements. . . Deliver a production-ready model before year-end.. . Company Location: Costa Rica.