RESPONSIBILITIES

We are looking for a machine learning engineer who is passionate in pursuing a machine learning and artificial intelligence career. You have extraordinary attention to detail and can detect patterns in an expanding portfolio of datasets. You will be responsible and majorly involved in working for the proposed research work in our platform. If you are obsessed with learning about statistical and machine learning models and also the implementation of scalable backend solution, this is the opportunity for you. As a machine learning engineer, you will also analyse information, generate model and solve problems for our clients.

• Setup and process literature work for ongoing research work dedicated to AI frameworks
• Identify key findings of a specific problem statement of client challenge and assist the product development team in ongoing research
• Articulate the findings to project teams of typically 3 – 5 which include business analysts, data analysts and tech leads
• Work closely and communicate with business development team to breakdown a problem statement / client challenge, explore technical use cases and assess technical feasibility of a solution
• Visualise the research, findings and solution architecture with diagrams
• Process data and analyse trends using statistical techniques to generate actionable insights
• Create ML-friendly dataset(s) for supervised, unsupervised and reinforcement learning, framework of research work especially in Neural architecture search and feature extraction
• Manage data warehouse to optimise the scalability and performance of the proposed research work, during model training and testing
• Apply data analysis, modelling, machine learning, to design and develop real time algorithmic prediction models
• Identify innovative ways to improve the accuracy and efficiency of ML algorithms
• Preferred experience in deploying models onto cloud systems (e.g: AWS. Azure, etc)
• Preferred experience in creating API endpoints, Docker and Kubernetes, etc