Trust & Safety ML Engineer safeguarding Hapiko’s generative - AI sticker printer for children. Owning moderation pipelines, safety evaluations, classifiers, red teaming, and compliance systems.
About the role
- Machine Learning Engineer at ExaCare AI developing novel machine learning solutions for healthcare challenges. Responsible for the end-to-end ML lifecycle, including dataset creation and model deployment.
Responsibilities
- Research, design, and implement novel machine learning solutions using modern architectures to tackle complex business problems.
- Build and manage efficient pipelines for rapid experimentation and hypothesis testing.
- Methodically design, execute, and track all experiments, including hyperparameter searches, architecture changes, and data variations.
- Deploy models into production environments using CI/CD practices and model serving frameworks.
- Implement and maintain robust monitoring systems to track model performance, detect drift, and ensure reliability and scalability.
- Apply modern techniques to optimize models for inference speed, memory footprint, and cost.
- Lead efforts in dataset creation, augmentation, and curation to build high-quality, robust training data.
- Stay current with and apply state-of-the-art techniques, especially relating to Large Language Models (LLMs).
Requirements
- Proven experience (3+ years) in building, training, and deploying machine learning models in a production environment.
- Expert-level proficiency in Python
- Experience with modern deep learning frameworks, such as PyTorch.
- Demonstrable experience with systematic hyperparameter searching and optimization frameworks (e.g., Optuna, Ray Tune).
- Exceptional organizational skills, with a strong emphasis on reproducible research and methodical experiment tracking.
- Direct experience with LLMs, including fine-tuning, prompt engineering, RAG, and efficient inference.
- Practical experience implementing model optimization techniques like quantization (e.g., bitsandbytes) and pruning.
- Experience in designing and curating novel datasets from scratch.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related technical field.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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