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
