AI Engineer

About The Role
We are seeking an experienced and hands-on AI Engineer to join our dynamic team. As a AI Engineer, you play a pivotal role in shaping our AI strategy and driving next-generation technology (such as Generative AI) in building a vertically integrated digital healthcare ecosystem.

Scope:

•    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, pre-process, and transform large scale structured and unstructured data for model training.
•    Rapidly prototype AI solutions, iterate, and learn from failures.

Requirement:

•    A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
•    Minimum 4+ years of experience in AI, Machine Learning, Data Science roles.
•    Strong technical hands-on experience in Python and develop RESTful API  is mandatory.
•    Hands-on experience in SQL mandatory.
•    Experience in cloud platform GCP or AWS is mandatory.
•    Strong knowledge of Machine Learning fundamental i.e. knowledge of models variant and use cases, end-to-end ML lifecycle process, , model selection, hyperparameter optimisation, feature engineering, evaluation, etc.
•    Strong hands-on experience in Machine Learning algorithms & libraries like Tensorflow, Pytorch, Keras, Scikit, Pandas.
•    Hands-on experience in three or more of the following AI topics: RAG, NLP, recommendation systems, predictive analytics, computer vision, search.
•    Experience in MLOps platform e.g. MLflow, or Kubeflow is plus.
•    Have a growth mindset, self-driven, high motivation & curiosity to learn.
•    Experience delivering and driving action based on data-driven insights.
•    Strong analytical skills and proven experience working with complex & large data.
•    Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results.
•    Self-driven & a team player, very good communication skills.