Senior Machine Learning Engineer

We are looking for highly motivated Senior Machine Learning Engineer. In this role, you will lead the development and implementation of cutting-edge machine learning models and systems to solve complex business problems.

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.

WHY JOIN US?

• To work with a team of dynamic ML engineers and R&D team in a fast-growing start-up.
• Design, build and optimize machine learning models to address various business challenges.
• Ensure seamless deployment of models into production environments with a focus on scalability and performance.
• Research and experiment with state-of-the-art machine learning techniques to improve model accuracy and efficiency.
• 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

• Ph.D or Master, 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
• Good command of spoken & written English
• A fast learner and able to work independently