AI Solutions Developer
5 days ago
We are KLAARA, a cutting-edge AI-driven solutions provider for the capital market, insurance, reinsurance, and other organizations. Our platform empowers businesses to transform unstructured data into actionable intelligence, fuelling better decision-making and driving competitive advantage.
Headquartered in Singapore, we were 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. Our team consists 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.
This role involves identifying and training suitable machine learning models to be used in conjunction with trading algorithms for complex problems. The successful candidate will oversee the full ML model training lifecycle from data preprocessing to model serving. They will also design and implement ML pipelines to allow for proper tracking of data trained models, deliver POCs and fine-tune current models for implementation.
The ideal candidate will have experience in ML model training/fine-tuning from data preprocessing all the way to model serving. Proficiency in Python and R is essential, along with understanding of basic Git commands and proficiency in Linux-based operating systems. Strong knowledge in Machine Learning and Deep Learning (CNN, RNN, Random Forest, SVM, etc) is required. Experience with Pytorch or Tensorflow is a plus.
Key Responsibilities- Train and fine-tune machine learning models for use with trading algorithms.
- Oversight of the full ML model training lifecycle from data preprocessing to model serving.
- Design and implement ML pipelines for proper tracking of data trained models.
- Deliver proof-of-concepts (POCs) and fine-tune current models for implementation.
- Collaborate with cross-functional teams to identify business needs and develop innovative solutions.
- Bachelor's Degree in Computer Science, AI, Data Science preferred.
- Experience in ML model training/fine-tuning from data preprocessing to model serving.
- Proficiency in Python and R.
- Understanding of basic Git commands.
- Proficiency in Linux-based operating systems.
- Strong knowledge in Machine Learning and Deep Learning.
- 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.
- Ability to solve technical challenges and solutions.
$120,000 - $180,000 per annum based on experience.
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