Senior Machine Learning Engineer
Raffles Quay, Singapore
Upskills
A global consulting firm with a particular focus on IT solutions for financial organizations and Capital Markets industry.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
- Good command of spoken & written English
- A fast learner and able to work independently
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CI/CD Computer Science Deep Learning DevOps Docker Git GitHub Jenkins Kubernetes Linux Machine Learning ML models Model training Pipelines Python PyTorch R R&D Research RNN TensorFlow Unstructured data
Perks/benefits: Career development Startup environment
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