11 months ago
Auckland, New Zealand or San Francisco, CA, USASenior
Responsibilities
- Design and develop custom machine learning models for business use cases.
- Implement and optimize transformer architectures for NLP tasks.
- Develop and maintain pipelines for data preprocessing, model training, and inference.
- Fine-tune large language models and implement retrieval-augmented generation systems.
- Collaborate with engineering teams to deploy ML models in production.
- Monitor production model performance and implement retraining strategies.
- Research emerging ML techniques and evaluate their applicability.
- Mentor junior ML engineers and contribute to team best practices.
Requirements
- Master's degree or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
- At least 5 years of experience in machine learning development and deployment.
- Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
- Deep understanding of transformer architectures and their NLP applications.
- Experience with large language models and fine-tuning techniques.
- Proficiency implementing and optimizing retrieval-augmented generation systems.
- Experience deploying ML models and monitoring them in production.
- Strong understanding of data preprocessing, feature engineering, and model evaluation.
- Experience with cloud platforms and ML infrastructure such as AWS SageMaker or Google Vertex AI.
- Excellent problem-solving, attention to detail, communication, and interpersonal skills.
- Preferred: MLOps and ML pipeline orchestration experience.
- Preferred: Distributed training and model optimization experience.
- Preferred: Vector databases and similarity search experience.
- Preferred: Familiarity with reinforcement learning and multi-agent systems.
Categories
About Hamster
We're building the AI-native future of work, unlocking the promised acceleration for your whole team, from idea to impact. Join us! https://tryhamster.com/careers