Job Description

Your Role: Do you want to design and build next generation business applications using the AI technologies as a backbone? Do you enjoy exploring capabilities of emerging technologies and do you like Your Role: Do you want to design and build next generation business applications using the AI technologies as a backbone Do you enjoy exploring capabilities of emerging technologies and do you like to use them to tackle a real business challenges We are looking for a Machine Learning Engineer to: . Partner and collaborate with the Business, Data Scientist, Machine Learning Engineers and IT teams across the organization to uncover business value using AI-powered solutions. . Provide AI based technology solutions that will solve business problems and strengthen our position as digital leaders in financial services . Build machine learning models to provide business data insights or automated decisions . Analyze business requirements and design and implement proof-of-concepts / pilots and minimum viable products . Operationalize inhouse developed solutions in collaboration with various business and technical stakeholders . Ability to take deep-dive into new and emerging ML/AI research topics independently Your Team: You will be working in the CTO AI & Data Science team based in Singapore. We are a dynamic and diverse team of transformation professionals with a focus to incubate, mature and scale cognitive platforms and extend automation spectrum across the firm, working in close collaboration with partners across the firm. Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients. Your Expertise: . Masters or Bachelors level degree in Computer Science or any related advanced quantitative discipline ( analytics / data science background will be added advantage) . In-depth experience and expertise in one or more areas like Knowledge Graph, Network Analysis, NLP, NLU, Sentiment, Speech-to-text . Hands-on working experience in Python scientific stack, SQL, UNIX/Linux systems for data wrangling, data analysis, modelling . MLOps and understanding of models lifecycle is a plus . Experience on the Azure / AWS / GCP is a plus . Manage individual project priorities, deadlines, and deliverables