We are looking for highly motivated Senior Machine Learning Engineer. We have designed a specific learning program to accelerate the young and talented graduates to enter and start their careers with the aspiration to empowering 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, fuelling 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! All of us are fully engaged in delivering cutting-edge solutions with the latest state of the art in AI. 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 characterise our ambition: Sky is the limit! We are serious about fun. If you see yourself enjoying working as a member of 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, analyse 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 pipe lining 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
