
ML/AI Engineer
2 weeks ago
Role overview:
Support our AI initiatives on a part-time basis. You will craft and refine prompts for large language models, configure and fine-tune speech-recognition (Whisper) systems, and evaluate automatic speech recognition (ASR) outputs. Work closely with the development team to integrate LLMs and ASR into our products, and analyze model performance.
Key responsibilities:
- Design, test, and optimize prompts for LLM-based services (e.g. GPT-family models).
- Configure and fine-tune Whisper or similar ASR models for transcription tasks.
- Evaluate and annotate ASR outputs for accuracy and identify improvement areas.
- Write Python scripts for data preprocessing, model evaluation, and API interaction.
- Integrate AI/ASR APIs with backend services and document usage guidelines.
- Stay updated on NLP/ML best practices and emerging AI tools.
Required qualifications:
- 2+ years of experience in machine learning, NLP, or AI development.
- Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.).
- Hands-on experience with LLM APIs (OpenAI, Hugging Face) and prompt engineering.
- Familiarity with speech/audio processing (e.g. Whisper, Kaldi, DeepSpeech).
- Ability to analyze model outputs and experiment with parameters.
- Degree in CS, Data Science, Engineering, or related field (or equivalent experience).
Preferred skills/experience:
- Experience with cloud AI/ML services (e.g. Google Vertex AI, AWS SageMaker).
- Knowledge of fine-tuning ML models and data annotation processes.
- Background in computational linguistics or signal processing.
- Publications or contributions in NLP/AI projects.
- Ability to work asynchronously and manage projects part-time.
Location: Initially remote; occasional on-site work in BGC (Taguig) when needed.
Job Type: Part-time
Expected hours: 20 – 40 per week
Work Location: Remote
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