Staff AI Engineer at Ho Chi Minh City - Doctor Anywhere

JOB DESCRIPTION

• 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.

JOB REQUIREMENTS

• 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 ie knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimization, 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 eg 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.

BENEFIT

• 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!