Staff AI Engineer
Summary
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
- Act as an advisor to our founder, CTO and stakeholders to define our AI strategy.
- Create a roadmap for AI research, development, and model deployment.
- Partner with our AI team in designing, implementing, and optimizing machine learning models (especially large language models).
- Utilize both external and proprietary machine learning tools and infrastructure to build adaptable, high-performance machine learning systems that facilitate rapid model development, efficient real-time deployment, and straightforward maintenance of model quality.
- Closely collaborate with our engineering teams to ensure smooth end-to-end delivery of AI solutions.
- Work closely with our infrastructure engineering team to build and leverage machine learning infrastructure to ensure that machine learning models run smoothly, scale effectively and deliver valuable insights.
- Collaborate with our data team to understand data requirements. Clean, preprocess, and transform large scale structured and unstructured data for model training.
- Rapidly prototype AI solutions, iterate, and learn from failures.
- A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
- Minimum 7+ years of experience in AI, Machine Learning, Data Science roles.
- Proven track record in delivering end-to-end ML projects: identifying impactful use cases, effort estimation, EDA, solution model development, performance evaluation, deployment, and models monitoring.
- Strong technical hands-on experience in Python.
- Strong knowledge of Machine Learning fundamental i.e. knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimisation, feature engineering, evaluation, etc.
- Strong hands-on experience in Machine Learning algorithms libraries like Tensorflow, Pytorch, Keras, Scikit, Pandas.
- Experience in GenAI/LLM.
- Hands-on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search.
- Good hands-on experience in git, building CI/CD pipelines.
- Experience on how to operate docker images in microservice architecture.
- Experience in cloud platform GCP or AWS.
- Experience in MLOps platform e.g. MLflow, or Kubeflow.
- Hands-on experience in SQL.
- Have a growth mindset, self-driven, high motivation curiosity to learn.
- Experience delivering and driving action based on data-driven insights.
- Multiple products and projects for SEA market in the healthcare domain
- Work with our regional tech team from Singapore and Vietnam
- Hybrid work model, flexible and flat hierarchy working environment
- 16 days of annual leave and 3 days of sick leave, +1 after each full-year service
- Competitive salary range and 13th month salary
- Insurance in full gross salary, Premium Healthcare Insurance
- Annual health check-ups
- Quarterly team outing budget
- Laptops, monitors and anything you need!
Quyền lợi ứng viên: Thưởng Tháng 13, Văn Hóa Công Ty Tốt, Văn Phòng Tiện Nghi
Yêu cầu hồ sơ:
Từ khóa việc làm: CNTT khác, Developer
Kỹ năng cần có: AI, IT phần mềm, Quy Trình Kỹ Thuật
Kinh nghiệm làm việc: Không yêu cầu kinh nghiệm
Giới tính: Không yêu cầu