About the Role
business experts and functions across OCB. The data platform team is
infrastructure and systems to enable AI, automation, and innovative
responsible for overseeing the design and development of our analytics
We are seeking ML/AI Engineers to join our data
platform team. This data platform team is part of a larger Digital
Transformation center and works closely with an in- house team of
analytics. This team will be focusing on developing our advanced
leading the development and launch of advanced algorithms. This role
algorithms, and managing data- monetization funnels and people operations
effectively with cross- functional teams to bring data- driven products to
The ML/AI Engineers will focus on
problem and data- driven business purposes. Developing complex
will require a strong understanding of Machine learning models, data
algorithms to make proven business impacts and developing any tools or
building the Mlops/Dataops system and models to resolve the business
technology, and MLOps systems. The ideal candidate will be able to work
enabling data- driven decision- making. He/she is also responsible for
will be crucial in driving the organization&039;s data strategy and
processes required to do so.
market.
Who We Want
Data
Business maths experts: An outstanding math solver who can turn any business requirements into highly efficient algorithms.
findings into recommendations to compose reports and executive- level
translators: Highly effective communicators who can transform data
presentations.
Data Platform Builder: Build and maintain the MLOps system.
What You Will Do
- Support DE team to build the Data- lake/Datamart/DWH.
- Deep dive in business problem to define the BRD, Detect the business problem, which are can solve by data problem.
- Maintain and improve the Feature stores/ Data enrichment.
- Build the data platform: MLops, DataOps, ….
- Work with Analytics Architect and the Digital Transformation team to optimize engagement channels by data algorithms.
products, gather feedback from stakeholders, and automate the
Work with Analytics Architect to launch and measure the success of new
ptimization.
- Presenting and Delivery the output to clients: Business team, Operation team, others.
- Stay up to date on analytics trends.
- Build the model/advanced analytics to solve the business problem.
Who You Are
- University Graduate, major: Computer Science, IT, Mathematics, or related fields.
Extremely indepth knowledge ML models: Supervised Learning (Regression,
Unsupervised learning (K- means, Hierrachical, DBSCAN).
Logistic regression, Tree- based model and evaluation metrics),
- Strong SQL and Python/R/Scala.
tracking (MLFlow), Data versioning (DVC), Observability
MLops tools and techniques: Docker, Model versioning, registry,
(Prometheus/Grafana/ Arize AI).
- Strong understanding of business architecture in analytics is a must (preferrable banking or ecommerce).
Strongly in Statistics, Probability, and Mathematics (Linear algebra
and Geometry): Who can map business problems with the mathematics
problem and resolution, not random apply.
- Excellent communication and interpersonal skills
