Company Description
Pluang is a technology-driven Indonesian wealth-tech investment company. Founded in 2019, Pluang’s mission is to democratize finance for all. We believe that everyone should have access to the financial markets, so we’ve built Pluang from the ground up to make investing friendly, approachable, and understandable for newcomers and experts alike. We are trusted by leading big tech companies in Indonesia to sell Pluang Investment products in their platform and applications (GoInvestasi by Gojek, Dana eMAS by Dana, and BukaEmas by Bukalapak)
Job Description.
We are looking for a Senior Machine Learning Engineer to join Pluang’s Singapore office. At Pluang, data is at the core of how we make decisions and build smarter products for millions of users. You will work with the team to develop ML pipelines and deploy ML models into production.
Responsibilities
- Working with other teams to prioritize, scope, design, and deploy Machine Learning models to the production environment to enhance and further grow the Pluang app
- Develop algorithms and tools that help users understand their financial health as well as assist in their financial planning and decision making
- Translate the business problems into data science problems by analyzing the feasibility, data availability, solution scalability, as well as bottleneck & potential risk if have any
- Implement and integrate system components for service orchestration, scheduling, job status monitoring, model performance monitoring, failure recovery, APIs, and any other components required for a robust and reliable Machine Learning system spanning on-premises and cloud environments
- Design and setup data ETL in GCP / AWS as requested by internal teams (e.g.: data analysis team)or project
Qualifications
- A graduate degree in Computer Science, AI, Machine Learning, Math, Statistics, Economics, Engineering, Physics
- 3+ years of relevant industry experience
- Strong development experience with machine learning frameworks and computational libraries such as TensorFlow, Keras, PyTorch, Scikit-Learn, Numpy, Scipy, Pandas, etc
- 1+ year working experience with Docker and Cloud infrastructure (GCP or AWS) to build Machine Learning end-to-end pipeline
- Good understanding of data structures, data modeling, and software architecture
- Passionate to use all aspects of data science, machine learning, and technology to build the investment app of the future
- Passionate to explore and use new technologies fast during project design and development
- Strong troubleshooting experience in modeling and pipeline development
- Strong sense of ownership and accountability, with good attention to detail
- Good interpersonal skills and ability to work well in an international team environment
- Ability to be agile and flexible in adapting to a dynamic environment
- Experience in productionizing machine learning models is a plus
- Interest in the investment or financial sector is a plus.
- Candidates with less experience will be considered as Junior Machine Learning Engineer
Pluang
