Senior Machine Learning Engineer
Summary
Senior ML Engineer builds and fine-tunes AI models for financial services, from data prep to serving, using Python/R and PyTorch/TensorFlow.
Raffles Quay, Singapore | Posted on 09/03/2024
We are looking for a highly motivated Senior Machine Learning Engineer. We have designed a specific learning program to accelerate young and talented graduates to enter and start their careers with the aspiration to empower breakthrough innovation in Financial Services!
WHO IS KLAARA
KLAARA provides AI-driven solutions tailored to the needs of customers in the capital market, insurance, reinsurance, and various other organizations. Our cutting-edge platform empowers businesses to transform their unstructured data into actionable intelligence, fueling better decision-making and driving competitive advantage. Headquartered in Singapore, KLAARA was launched in 2023 as a result of 3 years of Research and Development and a spin-off of Upskills, a consultancy company in Capital markets.
KLAARA is composed of creative thinkers and problem solvers, with the ultimate mission to breakthrough innovation! Our DNA is reflected in our values, these are how we act every day to make the greatest impact on what we are doing! We ask “Why not”. We constantly learn and grow. We care for one another. We cherish honest and respectful conversations. Positive energy and proactivity are the foundations of our team. Excellence and pushing technologies characterize our ambition: Sky is the limit! We are serious about fun. If you see yourself enjoying working as a member of the KLAARA team, then check out below!
WHY JOIN US?
- To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up
- Contribute to KLAARA’s product development roadmap
- Identify and train suitable machine learning models to be used in conjunction with trading algorithms for complex problems
- Oversee the full ML model training lifecycle from data preprocessing to model serving
- Design and implement ML pipelines to allow for proper tracking of data trained models Deliver POC.
- Progress within the state-of-the-art AI environment
- Fine-tune the current model and implement it.
- Understand, analyze and define new models to create new use cases.
- Lead a team of engineers.
Requirements
- Master or Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science is preferred.
- Experience in ML model training/fine-tuning from Data preprocessing all the way to model serving
- Experience in optimizing performance of ML models
- Experience with ML pipelining tools
- Full proficiency in Python, R
- Understanding of basic Git commands
- Proficiency in Linux-based operating systems
- Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc)
- Experience with Document AI understanding, and extraction is a big plus
- Experience with Pytorch or Tensorflow
- Knowledge of DevOps CI/CD tools such as Jenkins
- Knowledge of container tools such as Docker and Kubernetes
- Github repository with projects is a big plus (we want to see what you have been able to create)
- Ability to solve technical challenges and solutions
- Good command of spoken & written English
- A fast learner and able to work independently