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Home Singapore Machine Learning Engineer

Machine Learning Engineer

Full time at Upskills in Singapore
Posted on May 8, 2024

Job details

One Raffles Quay, Singapore | Posted on 04/23/2024 We are looking for highly motivated fresh graduates to start a career as a 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 i n a fast-growing start-up
  • Contribute to KLAARA ’s product development roadmap.
  • 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.

Requirements

You are:
  • Passion ate and following the latest state of the art technologies.
  • A fast learner
  • Excited to dive into the FinTech market and be deeply involved in KLAARA development.
  • Ready to interact with R&D and other ML engineers to continuously improve our models.
  • Motivated by challenges and problem solving.
With:
  • A Bachelor’s/ Master’s degree in Computer science/ computer engineering, AI, Data Science is preferred.
  • 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
OUR OFFER
  • Competitive compensation: Our comprehensive medical insurance coverage includes dental benefits for you and a wide range of medical coverage for your dependents as well.
  • Extensive learning opportunities : access to our upAcademy platform and learning sessions to develop your skills set throughout the year.
  • Fun in your daily life : Do you want to feel the vibe and the energy of Upskills, too? Enjoy team building activities, quarterly company events and plenty of engaging activities such as volunteering events, wellness challenges and festival celebrations !
We are located at Raffles place, the heart of financial hub in Singapore, surrounded by leading international businesses and financial institutions. Our welcoming space fosters collaboration and encourages lively discussions, providing a stimulating environment complemented by amenities such as kitchen facilities, refreshments, snacks, and an overall open working culture. Python, R, AWS, Machine Learning, Data Scientist, Deep Learning, Pandas, Hadoop, DevOps #J-18808-Ljbffr

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