Job Description
Build the future of AI Own the full AI lifecycle: About Our Client The hiring organisation is a well-established entity within the financial services sector, known for its robust technological infrastructure and commitment to innovation. Operating on a global scale, the organisation values expertise and excellence in its Technology department. Job Description Develop and deploy machine learning models to support key financial services initiatives. Collaborate with cross-functional teams to gather requirements and identify areas for machine learning application. Optimise existing algorithms for improved accuracy and efficiency. Ensure seamless integration of machine learning solutions with existing systems. Conduct thorough testing and validation of models to maintain reliability. Monitor and evaluate the performance of deployed models, making adjustments as needed. Stay informed about the latest advancements in machine learning and their potential applications in finance. Prepare documentation for models, processes, and workflows to support knowledge sharing. The Successful Applicant A successful Machine Learning Engineer should have: A strong educational background in computer science, data science, or a related field. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn. Familiarity with data processing tools and database systems. Problem-solving skills and the ability to work with large datasets. Knowledge of financial services processes and applications is advantageous. What's on Offer Competitive monthly salary between SGD 9000 and SGD 11000. Comprehensive medical benefits and leave entitlements. Opportunity to contribute to advanced technology projects within the financial services industry. Temporary position with exposure to a collaborative and innovative environment in Singapore. If you are passionate about leveraging machine learning technologies
